{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# Multiclass Support Vector Machine exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "In this exercise you will:\n",
    "    \n",
    "- implement a fully-vectorized **loss function** for the SVM\n",
    "- implement the fully-vectorized expression for its **analytic gradient**\n",
    "- **check your implementation** using numerical gradient\n",
    "- use a validation set to **tune the learning rate and regularization** strength\n",
    "- **optimize** the loss function with **SGD**\n",
    "- **visualize** the final learned weights\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the\n",
    "# notebook rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "source": [
    "## CIFAR-10 Data Loading and Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train data shape:  (49000, 32, 32, 3)\n",
      "Train labels shape:  (49000,)\n",
      "Validation data shape:  (1000, 32, 32, 3)\n",
      "Validation labels shape:  (1000,)\n",
      "Test data shape:  (1000, 32, 32, 3)\n",
      "Test labels shape:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into train, val, and test sets. In addition we will\n",
    "# create a small development set as a subset of the training data;\n",
    "# we can use this for development so our code runs faster.\n",
    "num_training = 49000\n",
    "num_validation = 1000\n",
    "num_test = 1000\n",
    "num_dev = 500\n",
    "\n",
    "# Our validation set will be num_validation points from the original\n",
    "# training set.\n",
    "mask = range(num_training, num_training + num_validation)\n",
    "X_val = X_train[mask]\n",
    "y_val = y_train[mask]\n",
    "\n",
    "# Our training set will be the first num_train points from the original\n",
    "# training set.\n",
    "mask = range(num_training)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# We will also make a development set, which is a small subset of\n",
    "# the training set.\n",
    "mask = np.random.choice(num_training, num_dev, replace=False)\n",
    "X_dev = X_train[mask]\n",
    "y_dev = y_train[mask]\n",
    "\n",
    "# We use the first num_test points of the original test set as our\n",
    "# test set.\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "print('Train data shape: ', X_train.shape)\n",
    "print('Train labels shape: ', y_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Validation labels shape: ', y_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (49000, 3072)\n",
      "Validation data shape:  (1000, 3072)\n",
      "Test data shape:  (1000, 3072)\n",
      "dev data shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n",
    "\n",
    "# As a sanity check, print out the shapes of the data\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('dev data shape: ', X_dev.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\n",
      " 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: subtract the mean image\n",
    "# first: compute the image mean based on the training data\n",
    "mean_image = np.mean(X_train, axis=0)\n",
    "print(mean_image[:10]) # print a few of the elements\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n",
    "plt.show()\n",
    "\n",
    "# second: subtract the mean image from train and test data\n",
    "X_train -= mean_image\n",
    "X_val -= mean_image\n",
    "X_test -= mean_image\n",
    "X_dev -= mean_image\n",
    "\n",
    "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n",
    "# only has to worry about optimizing a single weight matrix W.\n",
    "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n",
    "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n",
    "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n",
    "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n",
    "\n",
    "print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM Classifier\n",
    "\n",
    "Your code for this section will all be written inside `cs231n/classifiers/linear_svm.py`. \n",
    "\n",
    "As you can see, we have prefilled the function `svm_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3073,)\n",
      "(3073,)\n",
      "loss: 9.371438\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the naive implementation of the loss we provided for you:\n",
    "from cs231n.classifiers.linear_svm import svm_loss_naive\n",
    "import time\n",
    "\n",
    "# generate a random SVM weight matrix of small numbers\n",
    "W = np.random.randn(3073, 10) * 0.0001 \n",
    "\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "print('loss: %f' % (loss, ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n",
    "\n",
    "To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 23.972317 analytic: 23.972317, relative error: 3.513542e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 37.987479 analytic: 37.987479, relative error: 5.100853e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 34.440005 analytic: 34.440005, relative error: 5.558490e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -10.209498 analytic: -10.209498, relative error: 1.076306e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 17.702808 analytic: 17.702808, relative error: 4.344962e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 16.139178 analytic: 16.139178, relative error: 2.526484e-11\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -4.765286 analytic: -4.765286, relative error: 1.180230e-10\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -15.733149 analytic: -15.733149, relative error: 5.289334e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 19.417975 analytic: 19.417975, relative error: 2.037324e-11\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -16.304584 analytic: -16.304584, relative error: 1.466357e-11\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -18.751296 analytic: -18.751296, relative error: 9.304624e-13\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -4.270664 analytic: -4.270664, relative error: 4.292282e-11\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 0.162290 analytic: 0.162290, relative error: 1.218948e-10\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 2.742113 analytic: 2.742113, relative error: 3.565888e-11\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -22.101050 analytic: -22.101050, relative error: 4.721107e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -2.008795 analytic: -2.008795, relative error: 1.238286e-10\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 17.026114 analytic: 17.026114, relative error: 5.560129e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 8.449814 analytic: 8.449814, relative error: 1.298619e-11\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: 21.736752 analytic: 21.736752, relative error: 6.261245e-12\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "(3073,)\n",
      "numerical: -12.767287 analytic: -12.767287, relative error: 1.740810e-11\n"
     ]
    }
   ],
   "source": [
    "# Once you've implemented the gradient, recompute it with the code below\n",
    "# and gradient check it with the function we provided for you\n",
    "\n",
    "# Compute the loss and its gradient at W.\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n",
    "\n",
    "# Numerically compute the gradient along several randomly chosen dimensions, and\n",
    "# compare them with your analytically computed gradient. The numbers should match\n",
    "# almost exactly along all dimensions.\n",
    "from cs231n.gradient_check import grad_check_sparse\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)\n",
    "\n",
    "# do the gradient check once again with regularization turned on\n",
    "# you didn't forget the regularization gradient did you?\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 5e1)\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 5e1)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1**\n",
    "\n",
    "It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? How would change the margin affect of the frequency of this happening? *Hint: the SVM loss function is not strictly speaking differentiable*\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in.*  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "vectorized_time_1",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3073,)\n",
      "(3073,)\n",
      "Naive loss: 9.371438e+00 computed in 0.157578s\n",
      "Vectorized loss: 9.371438e+00 computed in 0.033228s\n",
      "difference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Next implement the function svm_loss_vectorized; for now only compute the loss;\n",
    "# we will implement the gradient in a moment.\n",
    "tic = time.time()\n",
    "loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss: %e computed in %fs' % (loss_naive, toc - tic))\n",
    "\n",
    "from cs231n.classifiers.linear_svm import svm_loss_vectorized\n",
    "tic = time.time()\n",
    "loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\n",
    "\n",
    "# The losses should match but your vectorized implementation should be much faster.\n",
    "print('difference: %f' % (loss_naive - loss_vectorized))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "vectorized_time_2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3073,)\n",
      "(3073,)\n",
      "Naive loss and gradient: computed in 0.099731s\n",
      "Vectorized loss and gradient: computed in 0.003002s\n",
      "difference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Complete the implementation of svm_loss_vectorized, and compute the gradient\n",
    "# of the loss function in a vectorized way.\n",
    "\n",
    "# The naive implementation and the vectorized implementation should match, but\n",
    "# the vectorized version should still be much faster.\n",
    "tic = time.time()\n",
    "_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "tic = time.time()\n",
    "_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "# The loss is a single number, so it is easy to compare the values computed\n",
    "# by the two implementations. The gradient on the other hand is a matrix, so\n",
    "# we use the Frobenius norm to compare them.\n",
    "difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n",
    "print('difference: %f' % difference)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stochastic Gradient Descent\n",
    "\n",
    "We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss. Your code for this part will be written inside `cs231n/classifiers/linear_classifier.py`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "id": "sgd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 0 / 6000: loss 790.743253\n",
      "iteration 100 / 6000: loss 754.421838\n",
      "iteration 200 / 6000: loss 741.675142\n",
      "iteration 300 / 6000: loss 732.177471\n",
      "iteration 400 / 6000: loss 723.364364\n",
      "iteration 500 / 6000: loss 716.767281\n",
      "iteration 600 / 6000: loss 709.038552\n",
      "iteration 700 / 6000: loss 703.856312\n",
      "iteration 800 / 6000: loss 698.499208\n",
      "iteration 900 / 6000: loss 694.387422\n",
      "iteration 1000 / 6000: loss 690.248125\n",
      "iteration 1100 / 6000: loss 687.167229\n",
      "iteration 1200 / 6000: loss 683.771116\n",
      "iteration 1300 / 6000: loss 680.543720\n",
      "iteration 1400 / 6000: loss 676.611416\n",
      "iteration 1500 / 6000: loss 675.022935\n",
      "iteration 1600 / 6000: loss 671.856882\n",
      "iteration 1700 / 6000: loss 670.073514\n",
      "iteration 1800 / 6000: loss 668.354116\n",
      "iteration 1900 / 6000: loss 665.655853\n",
      "iteration 2000 / 6000: loss 663.555858\n",
      "iteration 2100 / 6000: loss 661.244760\n",
      "iteration 2200 / 6000: loss 659.819011\n",
      "iteration 2300 / 6000: loss 658.407469\n",
      "iteration 2400 / 6000: loss 657.239756\n",
      "iteration 2500 / 6000: loss 655.467006\n",
      "iteration 2600 / 6000: loss 654.220286\n",
      "iteration 2700 / 6000: loss 653.721490\n",
      "iteration 2800 / 6000: loss 652.046864\n",
      "iteration 2900 / 6000: loss 649.916047\n",
      "iteration 3000 / 6000: loss 649.743143\n",
      "iteration 3100 / 6000: loss 648.295777\n",
      "iteration 3200 / 6000: loss 648.251919\n",
      "iteration 3300 / 6000: loss 646.411039\n",
      "iteration 3400 / 6000: loss 646.253802\n",
      "iteration 3500 / 6000: loss 645.180600\n",
      "iteration 3600 / 6000: loss 644.454899\n",
      "iteration 3700 / 6000: loss 643.921776\n",
      "iteration 3800 / 6000: loss 643.629300\n",
      "iteration 3900 / 6000: loss 642.924759\n",
      "iteration 4000 / 6000: loss 643.262198\n",
      "iteration 4100 / 6000: loss 641.306825\n",
      "iteration 4200 / 6000: loss 641.729541\n",
      "iteration 4300 / 6000: loss 640.196910\n",
      "iteration 4400 / 6000: loss 640.879910\n",
      "iteration 4500 / 6000: loss 639.602981\n",
      "iteration 4600 / 6000: loss 639.180311\n",
      "iteration 4700 / 6000: loss 639.221373\n",
      "iteration 4800 / 6000: loss 638.516822\n",
      "iteration 4900 / 6000: loss 638.142677\n",
      "iteration 5000 / 6000: loss 638.733491\n",
      "iteration 5100 / 6000: loss 638.701073\n",
      "iteration 5200 / 6000: loss 638.005403\n",
      "iteration 5300 / 6000: loss 638.039924\n",
      "iteration 5400 / 6000: loss 638.414362\n",
      "iteration 5500 / 6000: loss 637.084397\n",
      "iteration 5600 / 6000: loss 638.115404\n",
      "iteration 5700 / 6000: loss 637.002484\n",
      "iteration 5800 / 6000: loss 637.058863\n",
      "iteration 5900 / 6000: loss 637.181694\n",
      "That took 26.879940s\n"
     ]
    }
   ],
   "source": [
    "# In the file linear_classifier.py, implement SGD in the function\n",
    "# LinearClassifier.train() and then run it with the code below.\n",
    "from cs231n.classifiers import LinearSVM\n",
    "svm = LinearSVM()\n",
    "tic = time.time()\n",
    "loss_hist = svm.train(X_train, y_train, learning_rate=1e-6, reg=2.5e4,\n",
    "                      num_iters=6000, verbose=True)\n",
    "toc = time.time()\n",
    "print('That took %fs' % (toc - tic))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A useful debugging strategy is to plot the loss as a function of\n",
    "# iteration number:\n",
    "plt.plot(loss_hist)\n",
    "plt.xlabel('Iteration number')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "id": "validate"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training accuracy: 0.327204\n",
      "validation accuracy: 0.334000\n"
     ]
    }
   ],
   "source": [
    "# Write the LinearSVM.predict function and evaluate the performance on both the\n",
    "# training and validation set\n",
    "y_train_pred = svm.predict(X_train)\n",
    "print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\n",
    "y_val_pred = svm.predict(X_val)\n",
    "print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "id": "tuning",
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lr 1.399248e-06 reg 4.118422e+02 train accuracy: 0.334796 val accuracy: 0.332000\n",
      "lr 1.399248e-06 reg 7.846910e+03 train accuracy: 0.356347 val accuracy: 0.338000\n",
      "lr 1.399248e-06 reg 1.036543e+04 train accuracy: 0.355184 val accuracy: 0.348000\n",
      "lr 1.399248e-06 reg 1.074263e+04 train accuracy: 0.355204 val accuracy: 0.360000\n",
      "lr 1.399248e-06 reg 1.078504e+04 train accuracy: 0.364449 val accuracy: 0.349000\n",
      "lr 1.399248e-06 reg 1.280926e+04 train accuracy: 0.351061 val accuracy: 0.337000\n",
      "lr 1.399248e-06 reg 1.353046e+04 train accuracy: 0.331041 val accuracy: 0.341000\n",
      "lr 1.399248e-06 reg 1.617423e+04 train accuracy: 0.357592 val accuracy: 0.339000\n",
      "lr 1.399248e-06 reg 1.717434e+04 train accuracy: 0.346714 val accuracy: 0.331000\n",
      "lr 1.399248e-06 reg 1.896568e+04 train accuracy: 0.331163 val accuracy: 0.336000\n",
      "lr 1.399248e-06 reg 1.935789e+04 train accuracy: 0.350694 val accuracy: 0.340000\n",
      "lr 1.399248e-06 reg 2.315437e+04 train accuracy: 0.317898 val accuracy: 0.294000\n",
      "lr 2.478008e-06 reg 4.118422e+02 train accuracy: 0.325000 val accuracy: 0.324000\n",
      "lr 2.478008e-06 reg 7.846910e+03 train accuracy: 0.313102 val accuracy: 0.323000\n",
      "lr 2.478008e-06 reg 1.036543e+04 train accuracy: 0.329816 val accuracy: 0.322000\n",
      "lr 2.478008e-06 reg 1.074263e+04 train accuracy: 0.368449 val accuracy: 0.360000\n",
      "lr 2.478008e-06 reg 1.078504e+04 train accuracy: 0.342490 val accuracy: 0.340000\n",
      "lr 2.478008e-06 reg 1.280926e+04 train accuracy: 0.373306 val accuracy: 0.360000\n",
      "lr 2.478008e-06 reg 1.353046e+04 train accuracy: 0.339714 val accuracy: 0.324000\n",
      "lr 2.478008e-06 reg 1.617423e+04 train accuracy: 0.342429 val accuracy: 0.312000\n",
      "lr 2.478008e-06 reg 1.717434e+04 train accuracy: 0.355490 val accuracy: 0.327000\n",
      "lr 2.478008e-06 reg 1.896568e+04 train accuracy: 0.342735 val accuracy: 0.364000\n",
      "lr 2.478008e-06 reg 1.935789e+04 train accuracy: 0.334633 val accuracy: 0.326000\n",
      "lr 2.478008e-06 reg 2.315437e+04 train accuracy: 0.340592 val accuracy: 0.348000\n",
      "lr 4.291214e-06 reg 4.118422e+02 train accuracy: 0.335041 val accuracy: 0.336000\n",
      "lr 4.291214e-06 reg 7.846910e+03 train accuracy: 0.298531 val accuracy: 0.290000\n",
      "lr 4.291214e-06 reg 1.036543e+04 train accuracy: 0.320184 val accuracy: 0.326000\n",
      "lr 4.291214e-06 reg 1.074263e+04 train accuracy: 0.342306 val accuracy: 0.343000\n",
      "lr 4.291214e-06 reg 1.078504e+04 train accuracy: 0.268673 val accuracy: 0.278000\n",
      "lr 4.291214e-06 reg 1.280926e+04 train accuracy: 0.299041 val accuracy: 0.294000\n",
      "lr 4.291214e-06 reg 1.353046e+04 train accuracy: 0.270388 val accuracy: 0.269000\n",
      "lr 4.291214e-06 reg 1.617423e+04 train accuracy: 0.327184 val accuracy: 0.334000\n",
      "lr 4.291214e-06 reg 1.717434e+04 train accuracy: 0.351531 val accuracy: 0.333000\n",
      "lr 4.291214e-06 reg 1.896568e+04 train accuracy: 0.336020 val accuracy: 0.320000\n",
      "lr 4.291214e-06 reg 1.935789e+04 train accuracy: 0.317347 val accuracy: 0.314000\n",
      "lr 4.291214e-06 reg 2.315437e+04 train accuracy: 0.285633 val accuracy: 0.281000\n",
      "lr 4.972129e-06 reg 4.118422e+02 train accuracy: 0.355755 val accuracy: 0.356000\n",
      "lr 4.972129e-06 reg 7.846910e+03 train accuracy: 0.318000 val accuracy: 0.337000\n",
      "lr 4.972129e-06 reg 1.036543e+04 train accuracy: 0.347020 val accuracy: 0.340000\n",
      "lr 4.972129e-06 reg 1.074263e+04 train accuracy: 0.342898 val accuracy: 0.356000\n",
      "lr 4.972129e-06 reg 1.078504e+04 train accuracy: 0.328041 val accuracy: 0.321000\n",
      "lr 4.972129e-06 reg 1.280926e+04 train accuracy: 0.304816 val accuracy: 0.282000\n",
      "lr 4.972129e-06 reg 1.353046e+04 train accuracy: 0.289959 val accuracy: 0.315000\n",
      "lr 4.972129e-06 reg 1.617423e+04 train accuracy: 0.304714 val accuracy: 0.302000\n",
      "lr 4.972129e-06 reg 1.717434e+04 train accuracy: 0.276367 val accuracy: 0.319000\n",
      "lr 4.972129e-06 reg 1.896568e+04 train accuracy: 0.324041 val accuracy: 0.321000\n",
      "lr 4.972129e-06 reg 1.935789e+04 train accuracy: 0.310286 val accuracy: 0.301000\n",
      "lr 4.972129e-06 reg 2.315437e+04 train accuracy: 0.265776 val accuracy: 0.254000\n",
      "lr 5.200661e-06 reg 4.118422e+02 train accuracy: 0.306347 val accuracy: 0.295000\n",
      "lr 5.200661e-06 reg 7.846910e+03 train accuracy: 0.342653 val accuracy: 0.351000\n",
      "lr 5.200661e-06 reg 1.036543e+04 train accuracy: 0.293857 val accuracy: 0.288000\n",
      "lr 5.200661e-06 reg 1.074263e+04 train accuracy: 0.320367 val accuracy: 0.311000\n",
      "lr 5.200661e-06 reg 1.078504e+04 train accuracy: 0.295020 val accuracy: 0.300000\n",
      "lr 5.200661e-06 reg 1.280926e+04 train accuracy: 0.336327 val accuracy: 0.325000\n",
      "lr 5.200661e-06 reg 1.353046e+04 train accuracy: 0.328776 val accuracy: 0.317000\n",
      "lr 5.200661e-06 reg 1.617423e+04 train accuracy: 0.313286 val accuracy: 0.296000\n",
      "lr 5.200661e-06 reg 1.717434e+04 train accuracy: 0.293816 val accuracy: 0.267000\n",
      "lr 5.200661e-06 reg 1.896568e+04 train accuracy: 0.340306 val accuracy: 0.337000\n",
      "lr 5.200661e-06 reg 1.935789e+04 train accuracy: 0.326102 val accuracy: 0.352000\n",
      "lr 5.200661e-06 reg 2.315437e+04 train accuracy: 0.341980 val accuracy: 0.339000\n",
      "lr 8.095869e-06 reg 4.118422e+02 train accuracy: 0.341143 val accuracy: 0.336000\n",
      "lr 8.095869e-06 reg 7.846910e+03 train accuracy: 0.326694 val accuracy: 0.305000\n",
      "lr 8.095869e-06 reg 1.036543e+04 train accuracy: 0.339898 val accuracy: 0.335000\n",
      "lr 8.095869e-06 reg 1.074263e+04 train accuracy: 0.313755 val accuracy: 0.304000\n",
      "lr 8.095869e-06 reg 1.078504e+04 train accuracy: 0.317510 val accuracy: 0.312000\n",
      "lr 8.095869e-06 reg 1.280926e+04 train accuracy: 0.307816 val accuracy: 0.292000\n",
      "lr 8.095869e-06 reg 1.353046e+04 train accuracy: 0.340449 val accuracy: 0.334000\n",
      "lr 8.095869e-06 reg 1.617423e+04 train accuracy: 0.350918 val accuracy: 0.334000\n",
      "lr 8.095869e-06 reg 1.717434e+04 train accuracy: 0.350796 val accuracy: 0.348000\n",
      "lr 8.095869e-06 reg 1.896568e+04 train accuracy: 0.290367 val accuracy: 0.294000\n",
      "lr 8.095869e-06 reg 1.935789e+04 train accuracy: 0.341857 val accuracy: 0.337000\n",
      "lr 8.095869e-06 reg 2.315437e+04 train accuracy: 0.328531 val accuracy: 0.324000\n",
      "lr 2.770980e-05 reg 4.118422e+02 train accuracy: 0.314388 val accuracy: 0.319000\n",
      "lr 2.770980e-05 reg 7.846910e+03 train accuracy: 0.275898 val accuracy: 0.264000\n",
      "lr 2.770980e-05 reg 1.036543e+04 train accuracy: 0.302694 val accuracy: 0.325000\n",
      "lr 2.770980e-05 reg 1.074263e+04 train accuracy: 0.322184 val accuracy: 0.320000\n",
      "lr 2.770980e-05 reg 1.078504e+04 train accuracy: 0.305163 val accuracy: 0.305000\n",
      "lr 2.770980e-05 reg 1.280926e+04 train accuracy: 0.313122 val accuracy: 0.297000\n",
      "lr 2.770980e-05 reg 1.353046e+04 train accuracy: 0.312510 val accuracy: 0.307000\n",
      "lr 2.770980e-05 reg 1.617423e+04 train accuracy: 0.279102 val accuracy: 0.290000\n",
      "lr 2.770980e-05 reg 1.717434e+04 train accuracy: 0.303143 val accuracy: 0.291000\n",
      "lr 2.770980e-05 reg 1.896568e+04 train accuracy: 0.265245 val accuracy: 0.262000\n",
      "lr 2.770980e-05 reg 1.935789e+04 train accuracy: 0.278510 val accuracy: 0.265000\n",
      "lr 2.770980e-05 reg 2.315437e+04 train accuracy: 0.323102 val accuracy: 0.316000\n",
      "lr 3.013287e-05 reg 4.118422e+02 train accuracy: 0.311735 val accuracy: 0.302000\n",
      "lr 3.013287e-05 reg 7.846910e+03 train accuracy: 0.309388 val accuracy: 0.311000\n",
      "lr 3.013287e-05 reg 1.036543e+04 train accuracy: 0.280347 val accuracy: 0.263000\n",
      "lr 3.013287e-05 reg 1.074263e+04 train accuracy: 0.265531 val accuracy: 0.267000\n",
      "lr 3.013287e-05 reg 1.078504e+04 train accuracy: 0.326551 val accuracy: 0.293000\n",
      "lr 3.013287e-05 reg 1.280926e+04 train accuracy: 0.254327 val accuracy: 0.237000\n",
      "lr 3.013287e-05 reg 1.353046e+04 train accuracy: 0.314102 val accuracy: 0.320000\n",
      "lr 3.013287e-05 reg 1.617423e+04 train accuracy: 0.328122 val accuracy: 0.316000\n",
      "lr 3.013287e-05 reg 1.717434e+04 train accuracy: 0.291429 val accuracy: 0.277000\n",
      "lr 3.013287e-05 reg 1.896568e+04 train accuracy: 0.296918 val accuracy: 0.298000\n",
      "lr 3.013287e-05 reg 1.935789e+04 train accuracy: 0.312714 val accuracy: 0.334000\n",
      "lr 3.013287e-05 reg 2.315437e+04 train accuracy: 0.328184 val accuracy: 0.328000\n",
      "lr 3.031105e-05 reg 4.118422e+02 train accuracy: 0.348959 val accuracy: 0.356000\n",
      "lr 3.031105e-05 reg 7.846910e+03 train accuracy: 0.307592 val accuracy: 0.323000\n",
      "lr 3.031105e-05 reg 1.036543e+04 train accuracy: 0.343653 val accuracy: 0.338000\n",
      "lr 3.031105e-05 reg 1.074263e+04 train accuracy: 0.331143 val accuracy: 0.322000\n",
      "lr 3.031105e-05 reg 1.078504e+04 train accuracy: 0.281143 val accuracy: 0.286000\n",
      "lr 3.031105e-05 reg 1.280926e+04 train accuracy: 0.253367 val accuracy: 0.250000\n",
      "lr 3.031105e-05 reg 1.353046e+04 train accuracy: 0.344102 val accuracy: 0.317000\n",
      "lr 3.031105e-05 reg 1.617423e+04 train accuracy: 0.287551 val accuracy: 0.298000\n",
      "lr 3.031105e-05 reg 1.717434e+04 train accuracy: 0.307000 val accuracy: 0.306000\n",
      "lr 3.031105e-05 reg 1.896568e+04 train accuracy: 0.281653 val accuracy: 0.274000\n",
      "lr 3.031105e-05 reg 1.935789e+04 train accuracy: 0.334939 val accuracy: 0.333000\n",
      "lr 3.031105e-05 reg 2.315437e+04 train accuracy: 0.326347 val accuracy: 0.318000\n",
      "lr 3.160240e-05 reg 4.118422e+02 train accuracy: 0.269551 val accuracy: 0.286000\n",
      "lr 3.160240e-05 reg 7.846910e+03 train accuracy: 0.338735 val accuracy: 0.331000\n",
      "lr 3.160240e-05 reg 1.036543e+04 train accuracy: 0.315429 val accuracy: 0.287000\n",
      "lr 3.160240e-05 reg 1.074263e+04 train accuracy: 0.290612 val accuracy: 0.269000\n",
      "lr 3.160240e-05 reg 1.078504e+04 train accuracy: 0.280551 val accuracy: 0.269000\n",
      "lr 3.160240e-05 reg 1.280926e+04 train accuracy: 0.269020 val accuracy: 0.258000\n",
      "lr 3.160240e-05 reg 1.353046e+04 train accuracy: 0.279796 val accuracy: 0.268000\n",
      "lr 3.160240e-05 reg 1.617423e+04 train accuracy: 0.318122 val accuracy: 0.306000\n",
      "lr 3.160240e-05 reg 1.717434e+04 train accuracy: 0.272959 val accuracy: 0.270000\n",
      "lr 3.160240e-05 reg 1.896568e+04 train accuracy: 0.294490 val accuracy: 0.300000\n",
      "lr 3.160240e-05 reg 1.935789e+04 train accuracy: 0.294714 val accuracy: 0.285000\n",
      "lr 3.160240e-05 reg 2.315437e+04 train accuracy: 0.312816 val accuracy: 0.282000\n",
      "lr 4.004467e-05 reg 4.118422e+02 train accuracy: 0.315122 val accuracy: 0.290000\n",
      "lr 4.004467e-05 reg 7.846910e+03 train accuracy: 0.292408 val accuracy: 0.294000\n",
      "lr 4.004467e-05 reg 1.036543e+04 train accuracy: 0.312224 val accuracy: 0.314000\n",
      "lr 4.004467e-05 reg 1.074263e+04 train accuracy: 0.335633 val accuracy: 0.334000\n",
      "lr 4.004467e-05 reg 1.078504e+04 train accuracy: 0.305041 val accuracy: 0.309000\n",
      "lr 4.004467e-05 reg 1.280926e+04 train accuracy: 0.300082 val accuracy: 0.287000\n",
      "lr 4.004467e-05 reg 1.353046e+04 train accuracy: 0.261714 val accuracy: 0.272000\n",
      "lr 4.004467e-05 reg 1.617423e+04 train accuracy: 0.328122 val accuracy: 0.315000\n",
      "lr 4.004467e-05 reg 1.717434e+04 train accuracy: 0.303143 val accuracy: 0.285000\n",
      "lr 4.004467e-05 reg 1.896568e+04 train accuracy: 0.297673 val accuracy: 0.307000\n",
      "lr 4.004467e-05 reg 1.935789e+04 train accuracy: 0.280347 val accuracy: 0.264000\n",
      "lr 4.004467e-05 reg 2.315437e+04 train accuracy: 0.355796 val accuracy: 0.336000\n",
      "lr 4.157996e-05 reg 4.118422e+02 train accuracy: 0.261857 val accuracy: 0.268000\n",
      "lr 4.157996e-05 reg 7.846910e+03 train accuracy: 0.303959 val accuracy: 0.299000\n",
      "lr 4.157996e-05 reg 1.036543e+04 train accuracy: 0.295959 val accuracy: 0.296000\n",
      "lr 4.157996e-05 reg 1.074263e+04 train accuracy: 0.313959 val accuracy: 0.297000\n",
      "lr 4.157996e-05 reg 1.078504e+04 train accuracy: 0.344980 val accuracy: 0.340000\n",
      "lr 4.157996e-05 reg 1.280926e+04 train accuracy: 0.276673 val accuracy: 0.288000\n",
      "lr 4.157996e-05 reg 1.353046e+04 train accuracy: 0.294245 val accuracy: 0.280000\n",
      "lr 4.157996e-05 reg 1.617423e+04 train accuracy: 0.318041 val accuracy: 0.330000\n",
      "lr 4.157996e-05 reg 1.717434e+04 train accuracy: 0.281265 val accuracy: 0.280000\n",
      "lr 4.157996e-05 reg 1.896568e+04 train accuracy: 0.256020 val accuracy: 0.239000\n",
      "lr 4.157996e-05 reg 1.935789e+04 train accuracy: 0.335347 val accuracy: 0.330000\n",
      "lr 4.157996e-05 reg 2.315437e+04 train accuracy: 0.317000 val accuracy: 0.304000\n",
      "best validation accuracy achieved during cross-validation: 0.364000\n"
     ]
    }
   ],
   "source": [
    "# Use the validation set to tune hyperparameters (regularization strength and\n",
    "# learning rate). You should experiment with different ranges for the learning\n",
    "# rates and regularization strengths; if you are careful you should be able to\n",
    "# get a classification accuracy of about 0.39 on the validation set.\n",
    "\n",
    "# Note: you may see runtime/overflow warnings during hyper-parameter search. \n",
    "# This may be caused by extreme values, and is not a bug.\n",
    "\n",
    "# results is dictionary mapping tuples of the form\n",
    "# (learning_rate, regularization_strength) to tuples of the form\n",
    "# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n",
    "# of data points that are correctly classified.\n",
    "results = {}\n",
    "best_val = -1   # The highest validation accuracy that we have seen so far.\n",
    "best_svm = None # The LinearSVM object that achieved the highest validation rate.\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Write code that chooses the best hyperparameters by tuning on the validation #\n",
    "# set. For each combination of hyperparameters, train a linear SVM on the      #\n",
    "# training set, compute its accuracy on the training and validation sets, and  #\n",
    "# store these numbers in the results dictionary. In addition, store the best   #\n",
    "# validation accuracy in best_val and the LinearSVM object that achieves this  #\n",
    "# accuracy in best_svm.                                                        #\n",
    "#                                                                              #\n",
    "# Hint: You should use a small value for num_iters as you develop your         #\n",
    "# validation code so that the SVMs don't take much time to train; once you are #\n",
    "# confident that your validation code works, you should rerun the validation   #\n",
    "# code with a larger value for num_iters.                                      #\n",
    "################################################################################\n",
    "\n",
    "# Provided as a reference. You may or may not want to change these hyperparameters\n",
    "learning_rates = [1e-7, 5e-5]\n",
    "regularization_strengths = [2.5e4, 5e4]\n",
    "\n",
    "learning_rates = np.random.random(12)*(5e-5 - 1e-7)+1e-7\n",
    "regularization_strengths = np.random.random(12)*(5e4 - 2.5e4)+1e-7\n",
    "\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "num_iters = 1200\n",
    "for lr in learning_rates:\n",
    "    for rs in regularization_strengths:\n",
    "        svm = LinearSVM()\n",
    "\n",
    "        # 关闭训练时损失值的输出\n",
    "        loss_hist = svm.train(X_train,y_train,learning_rate=lr,reg=rs,num_iters=num_iters,verbose=False)\n",
    "\n",
    "        y_train_pred = svm.predict(X_train)\n",
    "        acc_train = np.mean(y_train == y_train_pred)\n",
    "        y_val_pred = svm.predict(X_val)\n",
    "        acc_val = np.mean(y_val == y_val_pred)\n",
    "        \n",
    "        # 更新准确率\n",
    "        if best_val < acc_val:\n",
    "            best_val = acc_val\n",
    "            best_svm = svm\n",
    "        \n",
    "        # 完成记录\n",
    "        results[(lr,rs)] = (acc_train,acc_val)\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "    \n",
    "# Print out results.\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy))\n",
    "    \n",
    "print('best validation accuracy achieved during cross-validation: %f' % best_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Rj+MP9kRr6Ll4Ryqj0r0ju8Ev/x32ETq8wyzKbMPRCB8I30MHquCWnm4ELFsiL7XGmSAWy+YjUtWbVHWDqm6YN+/0Z2J7Y6OIEy12yE+fecNvhjMHL4pSJPhCRm07J/DcMl6pEPXBq6DCOgXyEYtSWBK97XTg+37keYDjXj0/m0bsiJHEbnlh5EWMIbUE3Klcmyl8JtSdggo9HfLRjiOArXkcv4z39lgHQWv8OxANQazoS61xJojFKeUjmg6c1jY0whMtQKxj/kyaYjBUlXjMKvi0NhmRoO2ZgsRTQYRtOSw7aFvD1EWMv/E1SJtSKRzbjjy0a4cC0apvClK4REBS5d+XpJSeijTOVK+NJOooP/gftk02RN/xaSCpBogQiKJARupI241EGlxWH0nWn6551UdAbCvyUmucCalzyuYjmm6cxibqzj2f0ScfA45lMziGKqBgpVK0v+6NM2mKwVBVOpoSHOrNgO/T2LODtn2PkhjtBRHGmhfTu+RS0s2LECya6s6En6MAu30R7HwCBdxYHdlUK64T5PBz3CyJdD9OfizwwrQvKrmvanPuUnhgK7ieEo8piVjgKVOFnAu5vOCrsGweOBVM/2fZNqlUinQ6jas2o16KrJ9AESx86qw0KTuDbUFzS0vQJ5kivvpcclufZCg+jy3zXsGu1ktxrTh1+UHO7r6b1X0PknAUZ+UaFBh1WuhNLCFtNwJC0humPbufBrePJbqHQbsd8jm6+p9mWc9DJPLDeOJwtGU9ezquYCzZQVvD1PIuSkMrEkugnsu27gS3PtnC4/vq8Hzoas7zpgsGuGrVCLGYjbMwegTu6WB3rcLduwX1FR0YwDtyGM1kApHU0Ii9oBOroQEfm6MyHy8FC3K7UVWOpFayp/480nYjFj4dmb0sG32GRrcPSTViNbRW5BxmEoGaHF6Oypz/dS6Wj2imj9v57t9i57NPHZvDceJwiIIIdkMjTZdfOdOmGAxVIx6zaE1C44PfJjF8FNs/7nFv6N1Bff8ehhasx7nq9XMnn1oExIlhL1jF4OgorpOCCQmi3VgK10niuGma6+trPtfiygWwcYdSlwiSrY+/jSJBUu5ETMnklItXVt5b0tbWxva9vQx6jeGawDgPi2G/gVG/jvnJYerrj3uu6q99A8/11vPAol/Hx0at4DY5ZKfYtPCtPNX5Ol57+IssvOgq9oykGHZaUexjJz5mtZJ2Gql3h1hWP8L+3gHO2Xozjps5NkfPIcei3sdZ2PckWxe/mpVnXzql8xIRnJUXcvNXn+f7TzaT9wJBDrCjx+bffjmf7zzRymffkyPV2HY6lzAyVqoRaekk/9A9aHrseN5QQAcHcIeHoL2DzUvfRNa1OSqdjKY6ebb+xWStOjwr+Jx7wKHUao4kV7Jy9AnWnt1VEftnHKEmh5ejUnu+zhlAVW9X1bWqukpV/64ix8znkbBCxeSbYLAORL05EeVlMJSia8tPSA4fPkEoQvik7bs0H32Olt0PV8e4KpKua8ON150gFIFAdFgWbryOdF1lbvSnh9KQPFEojjO+rj4ZtKs0Wd9hyG8izJY9aavgY9GbbzkhKP1ochkPLv1NPCtxTCiO49kJMk4jd6z6Uw7GVzMca0fFOenEVRxGYy0ciS/nkm1fIZ4fOSmYw8LHVpezD95Oy9DOKZ/bXVvq+P5TrWRd65hQHCfjWhwYiPOx2xZMeb+ng7f9BXTsRKF4DN/H7+1Fjh4EBE/h8dYbSNuNx4TiMcTCtxx2Nl7CkfjSitg+80QPbqlFD+QZIRarwdFvfKXsBGg/nWb4ofsrZJHBUHn8oT78/duwSqTIEC+P++T9qHfmREP7nsvYUD+F4+/GEcaG+vFr/Lrs6VE8PVkoTsRX2LK/8mJxX3euZHYiEDwfeoaPX+NfbVFcLXFrFIucb7F5n4+WuIUqFvndWyCbxiohlMVzyT12TykjT963Kl/+1v6S0eWuL+zal+H57ZXJ5ev1HcXdv71k4Jble6w5eBfie1iWkPcELTHP0cfi+QP+lNIK1SoiBA6kiEutYcTiDOAODZJ+4bmy7fxMmt6f/GDmDTIYqoT7whOlcwlOwNu/fYatqR3Sw4NIhNAfQUgPD1bAolMnauqcI4PBvMZK4XrKULp8sIqvcLgviOTN5JR9EbK05F3Y31s+sqf14BNh0ukyNnQfwB8bLn/gkOd3jDIa4dxyOZ/b7jkaeb+nQ27zo+XzPgKiPh1DLxB3oo2qZfIwEi1OqOYRy4q81Bq1Z9EcwB3oR2LRpoO6/X0zbI3BUD10ZDDSDQT10SncLGc7vutGmoKi6te8ZzEb0TyRIOClUuRdjRSJD5BzAxGbzgXBOZH65Ms3dLIRE6rbDqSjJ1/vG8iX9OSO4ysc7alM6hwd6i88/HxySxL5YawC0xYKIQKZ/Oz3LI7PWZytqXPmfIBLNbDrG9AIObjG2xoMc5ZkXfBrX867KBaSqO0UMdOJ2HbE6yJYUVLsVJGYHS3Ztq9B20ph29FnSTrhsF8iRqQk8kGf8g29MMK9LL4HiWS0tkBDXfQL2dxUmdu81DUQTKsod10s8nYq6oADqhCrwWHZqSIi2LM4PdjstbyGibV3EF+0pGw7SSRpeeVrKmCRwVAdnNXnB16TcqiPvWTNzBtUI6QamiK3TTY2z6Alp8/yeRDlXt7eADGncjf9uGNRFy9/i7ME5rcEn9G6hDAvwuV2bFjYVl4hD3SeD0754WppbMNqaCl/4JBzz2rEjuB9SiUtbnjp6ReaiEL87A0QKx+5L/j0NJ9FzrMiCUbHgua6aTCwBjDD0IaTmP+O9yCJ0k+VYtu0vPS6CllkMFQeu2MhVtuC0sl6bQfnrEuQWEQvzBzAjsVJ1jeWHocTIVnfiF3rqXPmS9nhRNuCsxdV3ju0ZF6i7LCyCMxvPi7orjxbynpALYF1i7X02wfo8vNOjnafjBMjfvE1pdtMwraFt72ui2SJGsKWQEtzjIvOjf5gcjrYnUuw2uaXPF/XirFn/ovx7Di+X37I37ZgTdfJGUVmJbN8GNqIxRmi6YqraXvtm5FCQwu2jZVKsezjn8GumyOPTAZDEZLXvxtpaC7sYXRiWAuWEL/iVZU3rMq0dC7BiScKC0YRnHiClq7yIxTVJhETrlon2Fbh2O5AKEJnS+VvgG2NDgvb40VFiWXB+iV1x4ahAVYvFC5bW3jI3BKIOfDWq4SzltSRSlgF9y0CybjFyqUtJF/9mxBLFBZRTgzn7MtxVp035XN71xsWctlFzQUFYywmNDU5fPav1mFVUHjUv/F9SH3h77prxelrWMFzS14XJEKvE648yyJmFxaNtgVdrcLyeXNFpszu1DkyF0LSp5MNGzbopk2bpm1/I09spPuWbzK25ZlgXpZj03LtDXS84e3EF3RO23EMhlpGcxnyzz5M/tkHIZMGFGlqJ3bhS3DWXoTU+Ly8mUJ9n9GBXkb6e/DdYFjTdmLUt3ZQ39Jek8NRxRjJKM8fVPaE0cSqML8Z1i0U5jdX9+Y3MOqyvyfH0JgXZFwUmNccY1F7nGSRoerdR5SHnlf29YSpLwXOXQaXrxVaGoLz8X2leyDHob7ssSCZmCN0tcWZ15I4NlTsjwyQf+pXuC88FsxPVMVasJTYhS/FWbL2lM/L95VfPNTHN39wkF37xrBESCYt3nj9At786k6amyrvldZsmuzj95N7/BdoNoOqMpbsYFvXtezvuJRU0mL9IljTBbYlZPPKjiM+e7qDFEwoNNXB6k6Lrpbp9SqKyGOqumHadjgFzm1t0u+8LHry9XN+cG/VbC2EEYuTmG6xOI6fz6O5LFaqblbdAAyG6URVIZ8Dy6r5yiSVRFWP5ZIrlMh/NqGquF7gGaqkVysKviq+H9gW9Rp7fnA+cad4H1U9FhgTRPkWa+cHn3/bQaLM5Z0CuZxP3vWpS9k18fkJvuvZYAqKEzuWXqnYtVdV3HBoOsp8zFOh2mLxuy+/PHL79bfeXVNi0URDVwgrFos0+ddgmMuICMTPnLmJUZntAnEiIkLEzGEVxxJhqk5s2wqG2EshIpGCfEQsiEePep4K8bhFPEJAT6UIvuvHz7VcXXCR8nNFZzWzvNxfjX6l5x7q5oMSgImk8SwazlhUFbx8MCVjmj0rsxlVhXAYGic2q4Vj8B67YNk191unqqjvBxGnUT2LnpJzIREPxGbR/UbwDI97XS1r+r1n6nlB9RTbqYnPz8RRBGzneGUXKXztA++sIiJFr/PspjYDV6Jifq1nmLFnn2Dgtu+Q3f4ciCC2Q8OVL6f5VW8i1lHZup0GQ7XQfA5319N4O5+GfCZIxVbfhLP6Yuwl62pOVFQKdfPktzxC/sn70dEgKbnUNxK78Gpi6y+bVUP1fmaU3MFtuD0HAAUFu6md2KI1OE0dVbUtMzrCUF83uTDxtYhQ19RCY9s8nFjh1DZb97rc+WiWHQe88XLdXLYuxnWXJuhoDj6v6vuMDvYx0t+DF4p9y3FoaAnmnFrh53o0ozx3AHYeDfM4KnQ0KesXw8LWUxcQqop3dDfuns3oyEAQYWTHsBetJbbkbGSGvJglbcqmyT35K3JP3Q/ZNKji1zXiLV+H17UMK5Yk1d5JqnU+Ylm4rkffwDCDQyP4oeBOJGK0tzTRUJ+qCeE7XcxmsWjmLE5iOucs9t3yNYbu/jGay564wbaRWJyuP/kkiZWnPrnZYJgNaGaM3P23oNmxk6u52A7SsoD4Fa8744JcNJcl/f0v4A/2HvcqjuPEsJo7SL3x/cgsGLb3hnpIby1S7s2yiS9cQ3xRdfJoDvYcYaS/p2B9YRGLjsXLSaROzEpx+0MZ7nksd1LFmfFo6A++sY7lnRY9+3bi5jIn71sEJxZn3pJV9I9Z3LsZPO/kdNW2BWs64aIVUxcRqkru2fvwew+CP8lQscCJk9hwA1aqccr7PlX80SHGvv0v6NhI4F2eaK9l47d0kL/oarBt7HiKukVr2HeoB79A5RcRobE+Ref8tmkTjNWcs3hee7PeesOVkduv/eYdNTVn8cx8nK8Ao489WFgoAngemklz+HMfw0+PVd44g6GC5B69Hc2MFBYSnov2H8Hd/EDlDasymbu/jT/QfbJQBHDz+APdZO75TuUNmyKazxYXigC+F3gcBypTo3gi6ZGhokIRgoCTngO78b3jtj+7K19QKELgFczm4Qs/GOPQ3gPkCwnFYMe4uRzdB/fz883gFhCKENTU3nYY9vZM3Wnj7nkWv/fAyUIRgiHffJbck3cXPfeZIP2jL6GjQycJRQDxPayBHpxtT4XXJ82+A0cKCkUIxPDwaJqBwZGZNrsyhBVcoi61Ru1ZNEfo/+G3CgvFCajvMfzwLypjkMFQBfzBbnS4t3RZO9/F2/Mc6lamhm0t4I8M4u17IXA3FcNz8fZuxR8dqpxhp0Cue2/5soW+R+7AtsoYNIGh3qPlxZIqo0P9x17e8XC2bA1rz4eNL3hlzlvZ2+ccG1otta9n9pY+3kl79n3cvVvK1F1XNJfB7z88tZ2fIt6Rffh9R0vWhxbfwz6wAzyXvMTLXhtVpXdgqKKCdyYxFVwMJ+D295I/fKBsO81mGbnvrgpYZDBUB+/AttKCaBxL8I9O8Y45i3F3PjsjbauBe3Tf8eCFEvij/WghL+oM4bku+TIP7BAIkrHBQCyOpH0O9pQ/l7wLT+1tKNvuSKYFzy8/hDqSgdFsdEHkD3ZHuuZ4Lt6hHZH3ezrktz4ObhmVDYBg9R4ha9WVruwU4vtKNle5z81MIaaCi2Ey/tgo4kSLHfLH5oiL3WAogOYyFB6Am9xQ0fyZ41kklyk4VHcSnhsECdQw6kW8kYuFRjnnacL3PaRgTZlCbQPhlc5SNk3OOFm3fEPXjzYP17Io6808ccc5CtfLORnNZ6aw41NHx0aI9F0HcHNoBKEIgcjyvAjCeBYwm8WiiYaeAeymlshP0HZz6wxbYzBUD0k2BN6Dcl4QESRx5pS+lLpGcOLhTb8ETjxoW8NYsQR+lCkE6lc0utu2ncjDl1b4cF+fFNwIjnCA+kT5hnHbJe2XD1DyfUhO4dJIIkU0YSZIoj76jk8DaWwNVG+JYehjxJNYGg7jlwleUQWnXJLGWYHU5PByVGav5TWM3dhEYuVZZdtJIknTy19TAYsMhupgLzmr7M0gQLDm134d5OnCWXlutGFE9YO2NYyzYDlRMl3bzfMrmlvTsu2TopwLIWLR0NIGQF1SWLO4/LkkYnDJ8vKjQgtTfThWeVHX1gCpeHRvkjS2QxThbVk4FYpCj6+/FCSCqBPBb1tAwhsjiuB1bJt4rWZ5nwpmGNpQiNY3/lrplBciWHX11F/y4soZZTBUGKu+GWv+0tJiwnawV59Z9aElWYez7pLSN3wnhrNuA5KsbY9rrGNxebFoWcQXVT5NWFPH/LJpV8SyqGtoPvb61S9KlKxAI0AiJlxyVqL0vkVY0mERd0oPhtsWnLe0pIkFdi3EVlxY+rqLhTS0YlUox6XVOg97yeogAXcR1LJxV6wPRCx5nDKiSESY1948R3ItiglwMZxM6qxzaf/130NicdSy8D0f3/NR34d4HLupha4//xRiSgAa5jixi1+BNM8DO4bm8/ijo/hjo0HFCdvBWrQWZ80l1Taz4iSuej324tXgxOnJJHmkewGPdC+gJ5MEJ469eDWJl7yu2maWRWyHuvUvBieOik2v18J+t5PDbgee2mBZJFZeiN3QUnHbEql6WuYvDMSG+ji5UWLZYexwHp9l28xfsuKEm/OKhQ7vvC5JzIGE7bEmdZhz6/exONFL3FEaUsKH31pHR1cXifrGoGJLPktspJfYcC9WPoOIkEjV09a5kGvPg2QcbFGavR668ruZ5x7AURfbgotXQGfL1MWQs3A1zpKzwbLxJMZosoOR5DxyTj1YDlLXROKCl0/btYxC6lXvxpq3EGLxIJ9wIoEkEqhloZZNbuFqcsvWg1gk6ptZunQhsVhQcSbv22S8OBkvhq9BFZz21iYaG2r7YWlKiERfaow54NutXeovv5rRZ59i6Ff3BvM4wvkZVtyi7c3vJTa/s9omGgwzjjgx7DWXkbnrf/H7jhz/IVSwF68ktuqiOeI5mBpi2/Rc8Fb+6b7NPLM9S8wK5sDlfZvz1yT4/157DktmibfVSjVyqPNaNm5Xcq5wbHhRLNYv9NnQWr2H4rrGJqzu3fi9uyG0TACcOLHl5+EUGAHasNZmbfpZ7INbcP3gfCzAjyVJnP0iUq2rAWhtaia383G0/zAafoZFFWmZT+zCa4Ih7iS8atEucs8/iuTSaOhntEShay118y7jVG/FsvwCjsYXMZT2kXBag4oQt2FRZyvJWGUTuks8QfK6t5J/+HZ0dPDYVAtbLNJ1HXSvfAluvI66uMWizlZijkNz6zy2HcyRzcPxYWmho0lobqp8BZqZYjwaerZiKrhMYroquKibZ98n/ozs7h0FozwlnmDer/0uLa987Wkfy2CoZdxDuxn73hcLB3OIIMl66n/tj7Cq4HmqJrv3j/HBjzzDWNo7KV2fCNSlbL7wD+exbHHte1ae2g1P7AK3wDRMx4IFLXD9BUH8QyVR3ye7+T78kYGi1WViy84ltnD1hD4euUduQweOFunj4Ky7DGveUnL3fTdMql7gPurEiF/1ZvzBbtznHip6fGlsI375a6c8DcP1fLbt7SNf6KITfIaWdzXTWF85wej3HCB33y0FI/0VwXMS7F33GrxYCssSWptb2H7YC0ogTkIEkjHhklUJHHv2V3C5YEGb3vGu6yO3X/TP3zIVXM4E+n/yfbJ7dhZNB6K5LN1fv4l8T+WrGhgMlUJ9n/SPv1I86lcVzYyR/tm3KmtYDfA3/7i1oFCEYBBiLO3x8c++UHnDpsjAKDxeRChCsP7IAGw9WFGzgmMf2l5cKAL4Hvndz+BnRo/32bMZHegu0cfFff4RchvvCD/XRRwubp7co3cUF4rh8XW4D3fX05HPaZyD3SNFhSIEn6E9h4bwCymxGUDVJ/fAD4umhBIU280yf+/DALiesu2QW1AoBvuDTF7ZeWT251gEglFFx468lN+d3CAiW0Vku4h8pMD2G0XkaRF5UkQ2ichVk7bbIvKEiNwWxXwjFmcA9X36b7+1fAUXVQZ+9uMKWWUwVB53z/Pl8yeqj3dgJ/5wf+l2c4itO0Y4dDRbsgCIKhw8kuGFnbWdi/XZveWzpbg+PLWnfKGX6URVyR/YVqbKCYDiHtp+rI+386nCJfRO6OLD6GB5I3JjkarbeLs3o1Gi40M8z2dwJEr+RGUgUrvTxz+0s+x1E5S64UPY+TGyXqxsLLQqHO738CokeGea6YqGFhEb+DzwKmA98E4RWT+p2T3ABap6IfBbwJcmbf8w8FxU241YnAHy3UfwoyTSdfOMPPbwzBtkMFQJd/fzkC9fRQPLxt1fmUoTtcDjzwzilvAKjeO6yuNPRxAlVWRfb7SMf2NZyFTQSaS5NERJGK6K1xeWxMuMBgnTI/SJnIA6igj0XXRsONr+gLFMPtI8X19haCTC928a8A/uLFznfBIqFqmRo+S8GFESi4vAcHr2J+We5goulwHbVXWnquaAbwE3TmygqiN6fJ5hPRM+sCKyGHgNJwvIopgAl5nAdSOVMQKiVXEwGGYrUat7qJ5R3wXX1Ui5i31fybu17VWJ6vQRiZavedrwfaJWORkXdKp+lSJRJYIH9DhT8dBWyimnU7BfpvhBmBuhFTLVSbsdIjIxgOImVb0p/H8RsG/Ctv3A5ScdUeSNwKeA+QTicJx/Bv4MiJzx33gWZwCnvSNaPVyE+JIVM26PwVAtrI6FQaWScghYbQtm3qAaYemiFKlk+Z/fZNJi2eJUBSw6dVoiFggRCVLIVAqJJ4nq/ZO6puDvVKoIRUw2Hwn1kVT5WtPjJOJ2pOo0AqQSlfEJScv8kjkWj7UDcskmbMsjyvujCqnE3JAqIhJ5AXpUdcOE5aaJuyqw+5Mupqp+X1XXAW8APhna8FrgqKo+NhXb58Y7UGNYyRQNl19V9ilCEglaX/3GClllMFSe+LoNkYbhJFWP3bV85g2qEV68oTXSMKIlwos31HZJ0POWQrn5+JbA2q7odZenA7Ed7I7F5RtaNrGFa471sRauoazIs52Io0caQUAJ1oJlSJSHqpBE3CEZjyACBdqbK/Ow4SxfH8kF6MZSZOvaSdnRRh2a6iySsdmbcuYYwnQm5d4PTCx5tRgoGkKmqvcBq0SkA7gSeL2I7CYYvn65iHy93AGNWJwhOt76HqxE8RxREouTWns2qXW1XcrLYDgdJJkifvkrSnsXnRjJa95yRuVajMUsPvSby0mU8JgkEhYf+q0VOE5t/0wvbg/K1ZXKbhKz4YLlFTPp+HGXnA12iRyPYmE1tGE1zzveZ02ZyjqWjTTPwz7vpaWFoO1gn30FVmtn2QpGzpqpZ0hZOK+xpHNTBNqaksRjlcnVKfEU9rrLSl4TX2y6F18GIji2T2t98CBRDEtgVedcKVwRfb5ihDmLG4E1IrJCROLAO4AfnXA0kdUS/qiKyMVAHOhV1b9Q1cWqujzsd6+q/nq5A9b2r9AsJja/kyV/81nsljYkOeHJzraReJy68y9h4Z98/Iy6QRrOTBKXXkd8w8uCm8jEG3csDk6c5CvfSWzF2VWzr1q8+toFfOC9y4nHhET8+E9xMmERj1t88L3LedXL51fRwmhYAjdcCJ2tgedw4i9azIaGJLxuA1Qw3d9x25L1JM97aTAkbU0UMQKWjdUyn8T6F5/wOyypBuIvfgMk6ycJzbBP+yLil76a2JKzcM69KhCCEwWS7YBl46x7EbEV5xG76Dqs8ZKIE3/v7RjEU8Qvfy1WOAw+FepTMZYvbMGyBGui/YwLxRQL50WekjYtOOuvwF5zSXCuEwSybzn4lsPh5VeRbu5CBLo6GjlveYr5zXYQ/DFhP7YV5Oc8f3mcxtQckSlCMNoYdSmBqrrAh4A7CSKav6Oqm0Xk/SLy/rDZm4FnReRJgsjpt+tpJNY2SbknMV1JucdR32P0yU0MP/Bz/PQYsc5FtFz7auKLlpTvbDDMIfyxYXLPPoJ/eDeIjb18HfF1FyMVrjJRawyPutxxz1Ge2jIEwIXnNHHDy+fTWD/74g/7RuD5AzCchkQMVnfCorbqVy9TVfz+w7jd+1Avj5VswOlcUVKkqfr43fvwDm6HXBapb8Jeuh6rse3Edvks3r6t+D37AZC2LpylZ4dzJo/jjwzg7XseHRsEO469cCXWvCVI1GDIIvi+MjiSZXAki6qSSji0Nacq5lEshGZGcXc+jfYdRsUi3byIwZZlYDvUJ+O0NqWwJ8xJSOd8Dva5jGYU2xLmNVt0NNpY01zxpJpJuS9cNE/v/cCbIrdv/+ubaioptxGLk5husWgwGAwGg6H6VFMsXrRovt77wTdHbt/2V1+sKbE4+x5dDQaDwWAwGGYTAhKhMkutYsSiwWAwGAwGwwwTIXClZjFi0WAwGAwGg2EmCUq4VNuKU8aIRYPBYDAYDIYZZk57FkXkSuDjwLKwvQCqqitn1jSDwWAwGAyGOcLUyv3VFFE8izcD/x/wGBC9+KPBYDAYDAaDYWIZv1lJFJk7qKp3qOpRVe0dX2bKIBH5uIgcEJEnw+XVE7b9hYhsF5GtInL9hPWXiMgz4bZ/nZC1PCEi3w7XPyIiy2fKboPBYDAYDIaiTFNS7mpQ1LMYlocB+LmI/CNwK5Ad366qj8+gXf9PVT87yZ71BKVpzgEWAneLyFpV9YAvAO8DHgZuB24A7gB+G+hX1dUi8g7g08DbZ9Bug8FgMBgMhpOYq3MWPzfp9cTkkAq8fPrNKcmNwLdUNQvsEpHtwGVhMewmVX0IQES+BryBQCzeSDDfEuAW4N9FRE6n5I3BYDAYDAbDlJir0dCqeg2AiKxU1Z0Tt4nITAe3fEhE3gNsAv5YVfuBRQSew3H2h+vy4f+T1xP+3QdBLUURGQTagZ6ZNd9gMBgMBoNhArPYsxhF5t5SYN13T+egInK3iDxbYLmRYEh5FXAhcIjjHs5CV1lLrC/VZ7I97xORTSKyqbu7e6qnYzAYDAaDwVAcAbHtyEutUWrO4jqC+YHNIjKx+nUTkCzcKxqqel2UdiLyX8Bt4cv9wJIJmxcDB8P1iwusn9hnv4g4QDPQV8Cem4CbIKgNHflEDAaDwWAwGMoiSA0GrkSllOVnAa8FWoDXTVguBn53pgwSka4JL98IPBv+/yPgHWGE8wpgDfCoqh4ChkXkRWEU9HuAH07o897w/7cA95r5igaDwWAwGCqOSPSlxig1Z/GHwA9F5Irx4JEK8RkRuZBguHg38HuhPZtF5DvAFsAFfj+MhAb4APDfQIogsOWOcP3NwP+EwTB9BNHUBoPBYDAYDJVDqMmUOFGJkpT7XSLyzknrBoFNoaCcVlT13SW2/R3wdwXWbwLOLbA+A7x1Wg00GAwGg8FgmBK16TGMShSZmyAINtkWLucDbcBvi8g/z5hlBoPBYDAYDHMEsazIS60RxbO4Gni5qroAIvIF4GfAK4BnZtA2g8FgMBgMhtmPMDfzLE5gEVBPMPRM+P9CVfVEJFu8m8FgMBgMBoMBZFbnWYwiFj8DPCkivyDQxlcDfy8i9cDdM2ibwWAwGAwGw6xHAJnLnkVVvVlEbgcuIzjfj6rqeB7DP51J4wwGg8FgMBhmPcKc9yxCEAjTHbZfLSKrVfW+mTPLYDAYDAaDYa4gYNVeZZaolBWLIvJp4O3AZsAPVytgxKLBYDAYDAZDFGowyjkqUTyLbwDOUlUTzGIwGAwGg8EwVUTmfDT0TiAGGLFoMBgMBoPBcCrM8TmLYwTR0PcwQTCq6h/OmFUGg8FgMBgMc4k57ln8UbgYDAaDwWAwGE6FWVzuL0rqnK+KSApYqqpbK2CTwWAwGAwGw9xBZFYHuJS1XEReBzwJ/DR8faGIGE+jwWAwGAwGQ1REoi81RhSZ+3GChNwDAKr6JLBixiwyGAwGg8FgmGuIFX2pMaJY5Krq4KR1OhPGGAwGg8FgMMw5RMC2oy9ldyc3iMhWEdkuIh8psP1GEXlaRJ4UkU0iclW4fomI/FxEnhORzSLy4SjmRwlweVZE3gXYIrIG+EPgwSg7NxgMBoPBYDAwbR5DEbGBzwOvAPYDG0XkR6q6ZUKze4AfqaqKyPnAd4B1gAv8sao+LiKNwGMictekvicRxfI/AM4hSJvzTWAQ+D9TOzWDwWAwGAyGM5UpzFcsP2fxMmC7qu5U1RzwLeDGiQ1UdURVx0eB6wlHhFX1kKo+Hv4/DDwHLCp3wJKexVC9/khVrwP+stzODAaDwWAwGAyTEKYzGnoRsG/C6/3A5ScdUuSNwKeA+cBrCmxfDlwEPFLugCUtV1UPGBOR5nI7MhgMBoPBYDCcjAIqEnkBOsK5huPL+ybsrpDr8aRYElX9vqquIyjb/MmJ20SkAfge8H9Udaic/VHmLGaAZ0TkLmB0ghGmgovBYDAYDAZDWaZcG7pHVTcU2bYfWDLh9WLgYLEdqep9IrJKRDpUtUdEYgRC8RuqemsUY6KIxZ+EywnHjrJzg8FgMBgMBgPTmRJnI7BGRFYAB4B3AO864VAiq4EdYYDLxUAc6BURAW4GnlPVf4p6wChisUVV/2WSEZFCrQ0Gg8FgMBgMjA8vn/5+VF0R+RBwJ2ADX1bVzSLy/nD7F4E3A+8RkTyQBt4eCsergHcTjBg/Ge7yo6p6e6ljRhGL7wX+ZdK63yiwzmAwGAwGg8EwGZnyMHRJQnF3+6R1X5zw/6eBTxfo9ysKz3ksSVGxKCLvJHBrrphU3q8J6J3qgQwGg8FgMBjOWGqwjF9USnkWHwQOAR3A5yasHwaenkmjDAaDwWAwGOYOgkaozFKrFBWLqroH2CMi1wFpVfVFZC1BBvBnKmWgwWAwGAwGw6xGqMmaz1GJMmfxPuAlItJKUD5mE/B24Ndm0rC5Qr77MEP3/JixjQ+g+Rx2SztN172O+suvxkokq22ewVAR1Pdxd20hu/Fe/J5DIIK9eBWJS1+Os3BFtc2rGqqKOzJA9uhevLFhAOy6RhLzl+I0tCCzaNgq58LWA/D0HhjLQsyGNQvh/GXQmKqubemcsrfb5eigj+dDIiYs6bDoarWxrcLXeCyr7On2ONSveAoJB5bNs1jUZuHYQR9VZfjJJzjyra8zsmULoNSvXceCd/waTRsuPfb+qe+RGewj3XcYP58DyyLR2EZd+wLs+OndB7LZHP0DQ4yNpVEgFnNobWmiob6uKp8fX2HPUXhyN/SPBIlT2uqyLG4eojmVJ5mI09bSSF0qgYignou3azP5Zx7AH+oD28ZZchax867EaltQcftnEp3FYlGOV4Mp0kDkcVW9WET+AEip6mdE5AlVvagyJlaWDRs26KZNm6ZlXyMP/YLer30e9X3w3GPrJZHEqqun888/Raxjbn0ZDIbJaD7H6Pf+E+/IPshnj28QATtG/NzLSF77llkljKYDVZ+x3VvID/eB75+40bKINbZRt3w9MgtuMAOjcOvDkHfBnXAqdli57LoLYFVndWw73O+yZb+H6ok532wB24YNq+LUJU787B3q93h6j39yHwscCy5f61Dn+Oz8u79l8IFf4WczMOFeaqVSNF50Cas++SlUPQZ2PYfvuaCT3mexaOhaRqpl3imdW2/fAP0DQ0y+j4sIsZjD4oULsCs49Jl34bZN0DsMeW/iFsUSZWHTKGvmDWBZQn1dkq7mJJnbbkZHBsHNTTwBsGxiG64jfv5V02afiDxWInfhjHLx2Wv0vv+OnKmGxhe9vmq2FiLKr5CIyBUEnsTxfItRPJJnNJltWwKhmM+dIBQBNJvBG+jn8Gc+irr5KlloMFSGsdu/jndo94lCEYKbq5sj9+yjZDfeUxXbqkn6wHbyQwWEIoDvkx/qI31gR+UNmyJ5NxCK6dyJQhHA02Dd3U9B92DlbRsY9dmy38PXk5MDexp4Qx/bkcP39YQ+T+/xC/fxIevCI9tc9t70nwz+6n78TPoEoQjgp9MMP7aRvf/yTwzsfg7fzZ0sFAHUZ+TQHnKjZQtonMTQ0EhBoQiBxzOXy3PwcPeU93s63PUUdA9NFooAgq8WB4fq2TfQgKoyOppm5MdfRod6TxSKEFxPzyW/6R7cXVsqZf6Mo2JFXmqNKBZ9GPgL4PthHp+VwM9n1qzZT/8PvhEIxWKojz86wtjjD1fOKIOhwviDvbg7N5/0wHQCbo7sw3ehpdrMMXw3T673cGEBMY765HoP4df4A+W2Q4XEwYm4PmzcXhl7JrLziItfpoSE68ORwePvw7ZDfvk+rrJvd1/gUSyCn80ydmhv+fdPfUaP7i/dZnIXVXr6BgoKxYlkszkymWzJNtPF4Cjs7w0EdTF8tdjd14SvEOs/iIwUeVgax8uT2/iz6Te2WohEX2qMsmJRVe9T1deHOXtQ1Z2m1F9pvOEhsjueL9tOsxmGfl4yD6bBMKvJbd5ItIJPirt760ybUzPkB7sjZzrLD/bMrDGnydN7wC0jFgH2dAdeyEqRd5X+0fKfPc+HfT3BCeQ9pXckQh8V0le+oWy7xpdceZLXsRBuZnRKDwXZbA6/lMgKUVUGh0Yi7/d0eP5ApFNFVegfS1B/4DkkwgOijg7i9x+dBgurzHiexahLjVF7Fs0BvOEBxIlFaztgUlYa5i7+UB94EZSEKnoKQ3GzFc3nSntUjjX0S49Q1ABjER1XlgWZCjpJc55SJHbl5Lauhn+J3MdvbC3bxm5qjLQvEZmSWHQ9L3JWZdetjEIfTlPWIwvBo2POs3Eyw9HOwbLQMPhrNqMEFVyiLrWGmXs4A1h19RDxC2ql6mfYGoOhekiqIXiiLudyEEHOoOwAYjvRr0uN52aLO8F8xXL4ftC2UjiWRBIvwLHoZseKJngAJDNWto2fLj5MPRFVndL7bFvR/TxWhT4/yXi0dgI4luLHIn7fVeE0I8Zrhhr0GEZl9lpewzgt7Tjzu8q2k3iChquuq4BFBkN1iK+7COwICsH3cVacPfMG1Qix5o6ILWUKbavDukVBlHA55jdDItqAy7SQiAn1ifIeGktgYat1rE9jBF1iiZLceEfZdqOPbCTKfAM7lsCOJcofOCSZTESaxiAiNDVWxiGxdiE4EXSpAm11GUYXnoVvR/hAODGsjvL309mAIpGXWqPsV1xE5onIR0XkJhH58vhSCeNmMy2vfwcSL/Plt20arrimMgYZDFXAXrAEu6MzGIMshhMjds5lyFzxHkTAiidxGttKT2QXwWlsxarx63LOkvLz8R0bNqyujD0TWbnALjusLAJdbcdVzuouu6z4FRE6ZQCJFXenSSyG5DyknBdQLOrmLSrdpsDxW5qbyqabsm2LulRlPj/zm6G5rvRnwRKfhU2j2JaSaV8GThl3pBMjdsHVsyJ9VHkEtZzIS60R5R34IdAM3E2QOmd8MZSgfsOVNL7sVYUFo2UhiSQLPvwxrFRd5Y0zGCpI3Rt+F6lvLuxhdOLYC5aQuuZNlTesytQvOxsrkSo8NCUWVqKO+mW1721NJeDVFweCsJBQcCy4eCUsO7VUgqfF/GabJR1WUcFoW3DRihgx+3iDBc0Wy+ZZRQWjbcGGVTar/viPSS5bhpU4+TdeEgniXV2s/OjHaF56VnHBKBbJ1nkkmtqmemq0tTZTl0oWFYy2ZbFo4YKK5i999SVQFy/8bGiJT1Myx+p5A4hAPJkg+ZrfhEQKrAIuSSeGvexsYudeMfOGVwKZ3XMWoyTlflJVL6yMOdVnOpNyA4w9vYnBn3yX7K4XApEoFvUvehnNr3oTsQhD1QbDXEAzY2Qfv4/c479Ec1lAkcZWEpe+nPh5V9T8vLyZQn2PbM8Bskf3o14Q4CB2jMT8JSQ6FiKFbqI1Sv8IPLYTth8CUHyFrlZhwypYUuWR9J4hj11HPQbHNAhKBTpbLJbPd05KyD1O95DPjsM+A6N6TAR3tQqrFtjUJ4MVfjbD0R/+gCPf/ibuQD8AdlMTnW99J/Pe+GbsVFC6xstlGes5SGawF1BQxUnVU9exkESEQJliqCrDI6P09w+RywefH0uEpqZGWluacKKMC08z2Tw8vRue2RtEpCuQdDyWtgzR1TxKzLFoa26kpbkBy7LwR4fIP/0r3K2bgmA4VaR1PvELr8Zeed60it1qJuW+8Jx1eu///lfk9u0XXF1TSbmj+DpvE5FXq6rJ8XIK5PMWfQfGGHh8P5YIkkyxYG2eRmbPTcBgOF00niS9/sUMdJ2DlxkDsYjV1dHa2kJ8CpP15yKOl8cf60PTowBIqh7Hm32VnZrjGV7cto+L9TB5T3DEJ9HcSjK1lGBwqnrkPZvuIZsDvYFzxLYhFS8dAOOrxUjG4shQ0MixoLXhROEi8Tit111D4vzVeEPjYrGF1LzFJ3gcJZ8ltnMz+szDQW5N38NZtAr70pfDaYhFgLqePTiP/wK35zBYNpbjEDv/SuzGF4FT+TqLMdtjfVs3y/0jZPM+oj7x9ADWC88ih/fiNDaTvOwVSNOlgAWJFO6q80m3zEezabAsnMYW7I5Fc+8uWYMew6hE8SwOA/VADhiP7VdVbZph26rCdHoW9/7Xlzjw5a/gZ06MiJNYDCuR4Nz/+k8a1q2blmMZDLWK53nsO3AY13VPCv4VEVLJBAu75p955f48l+xT9+KPDoI/Kb2QZWPVN5O44OVB5HSN444OMrLj6TAd0OQ32SLZtYLk/CVVse2JnfD4zpOry1gSDCm/bgPMm6Rln9kb1DaenGB6vM/1F0B7g8fwrmdx06MFy/jZiRRNK8/D7zvK2C2fBzd/8vvsxIhffA2JK66f8nmp+mTv+W6Q9H5yBRTbQZJ1pN70QazGlinv+1Tx3Tx9u54PK9ZM+hy4eazeQziP/QKxY9gdXSTf+D4G9m9Dfe/k9mKRbOmgoWv5tP02VNuzeM+3o4d7dJx3ZU15FqMk5W5UVUtVk+H/jacrFEXkrSKyWUR8EdkwadtfiMh2EdkqItdPWH+JiDwTbvtXCT89IpIQkW+H6x8RkeUT+rxXRLaFy3tPx+ap0vfL+woKRQDN5/FGRtj8ex/AS6craZbBUHEOHu4mnz9ZKEIwjJbOZOnp7a+8YVUm+/wj+CMDJwsIAN/DHxkgt/XRits1VXw3HwpFj4IJ2NUnc2gX+eHKv8d7uwsLRQhS5OQ9uO2xIL/iOAf6CgvFiX1+9jQM7NtZWCgCqI+XHWNk1xbGbv0C5DKF32c3T+7xn5Pf/syUzy3/5P24O589WSgCeC46Nkz6xzeXrfIynQzs246fzxZOCeXE8Nu7cNdeCG4Ot/sgA9ufCio3Ffxx8MkM9JCZCwm5AaYQCT0ro6EBROT1IvLZcHntNBz3WeBNwH2TjrMeeAdwDnAD8B8iMu6J/gLwPmBNuNwQrv9toF9VVwP/D/h0uK824G+Ay4HLgL8RkdPz90+BvV/8z4JCcSJ+Pk/3HT+tkEUGQ+XJZnNks6WT8I1XmYhSkWKuoNk0fu+BsuX+vJ79aK62HyhzfYfK54tUn8yRPZUxaAKbdhQWihPxFbYdPP66mFA8oY+v7DxqlXn/FHfnM6VLXUIgGB+5s3Sbybv2fXJP/DLwVpY4vo4O4h3cOaV9nyr5zBhupsxn1YnhLz8btWy0bX75QA71Ges+UFHBO5PM6drQIvIPBPWht4TLh8N1p4yqPqeqhWp73Qh8S1WzqroL2A5cJiJdQJOqPqTBp+ZrwBsm9Plq+P8twLWh1/F64C5V7VPVfuAujgvMGSXX08PYzvJfUD+d5sj3bq2ARQZDdRgeGY38Qz82Fi2B8VzA7dkfbf6SCG731OoGV5pc76HSoinEGx2saP3vdA56IxT+cD147kDwfyYfsY8v7Ml0lm1nHdgFESrw+P3d+MMD5Q883v7I3miVkfI53Ocei7zf0yEz0Bvpc4AqfkcX3pJVEKHSme97uBESoNc8wqyuDR1lMsyrgQtVg0+BiHwVeAL4yAzYswh4eMLr/eG6fPj/5PXjffYBqKorIoNA+8T1BfrMKO7gEOI4aK78j0R+cLACFhkM1cGLckMbb1tomG6u4mYLD0tOxvcKDzPWENEFoKCeW7E5mNl8ML8wymXOhg66XD5I+xKlT84vfx4StVSjZaOZMYg4v1AzY5Fri2u6MqXyfC9iuUIRiCciV2WR8HMz+xF0FtdBifqtbQH6wv8jhbWJyN1AoUevv1TVHxbrVmCdllh/qn1OPKjI+wiGuFm6dGkR06LjtLagEcv9xdunnl/LYJgtOE60nxgB7DMpfU4sGeSWK6dKLBuZQmWPaiBODI1U11grGqyTjJcfTh4nFeaGTsSilewGSFjlz1njSSSMci+J7yF1DdEOTFhGM5LHXpCGykSi2+USbI+jCtkMZMaC/8t40VQVK4IHstYZrw09W4kicz8FPCEi/x16FR8D/r5cJ1W9TlXPLbAUE4oQeP8mhswtBg6G6xcXWH9CHxFxCMRsX4l9FbL1JlXdoKob5s07/cyx8ba2SFHOVl0dnW9962kfz2CoVRob6iNFMipQV1f5NB/Vwpm3JOLNXrHnVSeKOCrx9oWRat46Da2VFYsxWBBBJzk2rA8vcSIWVCIp28dSlqcOl23nL14JJaq8jGN1dGHVR48btRYsRqKIMydG7OxLI+/3dEi2tEcePrV6DmHv215+PidgOTHsxNz4bfDFjrzUGlGiof8XeBFwa7hcoarfmiF7fgS8I4xwXkEQyPKoqh4ChkXkReF8xPcQVJYZ7zMe6fwW4N5wXuOdwCtFpDUMbHlluK4iLP3gB7CSJdzsItipFB2vMLWhDXOXeDxGKpkoOWImIrS2NGHN4qfuqSKxBPaC5YUrV4xj2djzl9e8ZzHR1hmppF2yc1llDJrAhtXl61Y7FqyaMAZ20fIIfWxh5QIpLZJFcFafH5axLPHZdmIkrnhV6QOetGuL2KWvKD3nTyys1g6sBac/WhYFJ5EiVtdQWjC6eewdzyDqI4O9SLkHJrGom79ojqTVkrkZ4CIi68K/FwNdBJ66fcDCcN0pIyJvFJH9wBXAT0TkTgBV3Qx8hyCQ5qfA76vq+DjNB4AvEQS97ADGq7jfDLSLyHbgjwjnUqpqH/BJYGO4fCJcVxFaLr+M5f/f/wkSs04aXrOSSZyWFs790k0FS0UZDHOJrs55xOPxgj/4IkJ9fR1trdVN2lwN4msuwWrugEJ1YC0Hq3ke8TWXVN6wKSK2Q8PqCwOvYZHShakla3HqK/8eL2yDF58ViL/Jnz7bCryPr78UYhN+ohe0wOVrivdJOHDDhdC0eAWxhuYite0snLomGpauo+7NH0RS9ScLO7ECoXjla3GWnTXlc4udcxmxcy4vLBidGNLURuq1v1VRodW8eBVOPHny50A1yLN4aDf2jmchliC2eBUt6y7BiiWKfm7qOjpJtVShTuQMMSfL/YnITar6PhH5eYHNqqovn1nTqsN0l/sb3baNg//zdXp//gv8XI54Wxtd73g7C974BpymOZnX3GA4iaAs2Rj9A4Pk88HQUzKZoLWlqWR927mOqo/XexB373P4owMAWA0tOEvOxm6fXR4V382R6z1EtudAMIfRsok3zyMxfzF2sr6qtvUNw9N7YNfRYB5jMg7nLoF1iwPBWIj+UdiyD/b0BBHTyTicvRDWLgyGqyH4XOeH+0h378cL5ybayTpS8xYTa2o/9v5pNk1u86Pkn7wfHRsG28FZeQ7xi1+GPW/haZ2bd2g3uSd+iXdgB/g+0thK/MKrcdZeiFRhrp+qT3awn9Hew3i5DKhiDfVhb30C6TuCM38Ricuuw1l9HiIW6nukB3pI9x7Cz+cQEWL1zdR1LAw8ldNINZNyn3/uOXr7rd+O3H7JWefVVFLuKBVckqqaKbdurjDdYtFgMBgMBkP1qapYPO9c/cmt34ncfunac2pKLEYZGH8w4jqDwWAwGAwGQwFmcwWXoqFpItJJkJcwJSIXcXz6RhNQVwHbDAaDwWAwGOYEtRi4EpVSeQyuB36DIOXMP01YPwx8dAZtMhgMBoPBYJhT1KLHMCpFxaKqfhX4qoi8WVW/V0GbDAaDwWAwGOYMGqbOma2UzZCqqt8TkdcA5wDJCes/MZOGGQwGg8FgMMwVZrNnsazMFZEvAm8H/oBg3uJbgcpnVzUYDAaDwWCYpfhYkZdyiMgNIrJVRLaLyEcKbL9RRJ4WkSdFZJOIXBW1byGi+ERfrKrvAfpV9W8JEmnXdv0pg8FgMBgMhppBUKzIS8k9idjA54FXAeuBd4rI+knN7gEuUNULgd8iKGoSte9JRBGL6fDvmIgsBPLAigj9DAaDwWAwGM54lGlNnXMZsF1Vd6pqDvgWcOMJx1Md0eOJtOtDEyL1LUQUsXibiLQA/wg8DuwOd24wGAwGg8FgiMA0isVFBOWXx9kfrjuBsLTy88BPCLyLkftOJkqAyyfDf78nIrcBSVUdLNfPYDAYDAaDwRAwxQCXDhGZWE7uJlW9Kfy/0I5OKsenqt8Hvi8iVwOfBK6L2ncyZcWiiOwA/lFVv6iqWSArIrep6mvL9TUYDAaDwWAwTLkyS0+Jcn/7OTF2ZDFwsNiOVPU+EVklIh1T7TtOlGHoPHCNiHxFROLhurIuS4PBYDAYDAZDgKpEXsqwEVgjIitCXfYO4EcTG4jIahGR8P+LgTjQG6VvIcp6FoExVX27iPwZcL+IvI0ILkuDwWAwGAwGw/EAl2nZl6orIh8C7gRs4MuqullE3h9u/yLwZuA9IpInCFR+exjwUrBvuWNGEYsSHvwzIvJYeIC2qZ+ewWAwGAwGw5nJdCblVtXbgdsnrfvihP8/DXw6at9yRBGLH5twgHtE5HrgvVM5iMFgMBgMBsOZzGyu4FJULIrIOlV9HjgQjndP5LaZNctgMBgMBoNhbqAIns7N2tB/BLwP+FyBbQq8fEYsMhgMBoPBYJhjzEnPoqq+T0Qs4K9U9YEK2jTn8NJpRp95Ej+TJjZvAXXr1hMGKRkMZxTZA3vJ7d0NlkVqzdk4be3VNqkmyOVd0tk8AKlEjHgsygyh2kNVyWQyuJ6HZVmkkkksqza8KemMx1NbhhnLeCxoj7N+bUPZ32HN5/CP7EbzOaS+CWvekoJ9/MwoOtwHqkhjK1aq8eR9qTL81DNkDh7CTqVovuwSnPr6aTk3zYziHdkLnofV3IHV3jkt+z0dvN7D+H1HQISRpmUcygTXpKtNaG048RqqKjrUi44Ogm1jtXYi8WQ1zJ45lChRzjVLyV8kVfVF5LME9aANU8TPZjl08xfov/uniGOH4VCK1dBA12/+Hi0vvbbaJhoMFSG9fStHbv43cvv3gO0ggLp5UudcSOfv/iGxjvnVNrEqZHN5Dh4dJJ3NI6HXQVFSiRgL57eQiM8e0Tg0NERffz++7wNBZKQCTU1NtLe1Ve0BOZfz+c+v7+WOX/Rg28E6Vaivs/nddy3huqs6Tuqjnkt+0124254EK7RbgViC2CXXElt1PgD+2DD5rY/iD/XAuChWRRpaiZ91GVZ9MwBHf/ozdn7mn3AHh0AEBNR1WfD617LqI3+CnUqd0rlpZpTsg7fh73sBLJtQkSANLcSveA12V+Ur83qH95C593v4/UdRsXA9EN/DTazml81vYphmFnbAay+z6WgWvO595Dc/ANkxjuWLVh+rcwWxc65EYomKn8NMMZs9i3K8dGCRBiJ/CzwN3KrlGs8BNmzYoJs2bSrfsAx+LsfOP/9DMnt2obncSdslkaDz3b9DxxvectrHMhhqmbHnn2X/338UzWZP3mhZ2PUNLPuHz59xgjGTzbNrfy9+kZ9VS4QVi9tJJmIVtmzq9PX1MTA4SKFbhIiQSCRY2NVVccGYy/v80d8+x449Y+TyJ9uWiFv8xtsW8bbXdh1bp55H9s6v4vcdBs89ead2DOeCq3FWnkf28Z+Bly98cNshceF1HPrRnez87D/jZzInNbESCepWruDCb/43dnJqnjTNjJL54RfRsRFQv+Dx49e8DWfpWVPa7+ng7t9B+of/Be7J18RHyEgdX2/5MKN2M4kY/O5Fu6nb8UvwvZN3JhaSaiB+5ZuQWPzk7aeAiDxWItH1jLL+3Iv0a9+7N3L7S9e1Vc3WQkQZH/gj4LsElVuGRGRYRIZm2K5ZT8/3v1NUKAJoNsvhr/0XuSOHK2yZwVA51Pc4+LlPFhaKAL6PNzrC4S8Umho9t9l3uL+oUATwVdl/eKByBp0iuVyuqFCEYIgxm80yOFT528atdxxm5950QaEIkM35fOXb+zl4+LiQc597NBg+LSQUAbw87lO/JPvEPcWFIoDnMnzfT9j5j/9UUChCMPo0tnMX+27+auRzGif38B1oerSwUAyPn/vFd1G38D1oulHfI/2T/y4oFAEslISmecXILUH7fI74C0WEYrBDND2Cu/WRGbK4soznWZym2tAVp6xYVNVGVbVUNa6qTeHrpkoYN1tRz6Pnh7cUFYrH2vk+vbfdWiGrDIbKM/rERvxcEaE4ju+T3rqFfPeRyhhVA6QzOfJukZv8BHKuRzpTmZv9qVJKKI6jqgxGaDed+L5yy08Ok82Vvs6+Krf+NPjsqSr5LQ+VFoHBztGj+8racOSuB8qes5/NcuB/vom6RcRpATSbxtvzXHGhNQFv5zOR93s6uDu3gFfaHhufJfmd1HuDnJvYhl9OFKmPd2AbWkSAzjamsYJLxYk081hEWkXkMhG5enyZacNmM7mjh/GLeVIm4roMbZwbT00GQyFGn3oMzaTLN7RtxrY8PfMG1Qij6Vwk4aSqjKZrWyyOjY1Faue6Ll4ZMTGddPfmGEuXF+SuC48+OQCAjg1BrrAX8ATUh/Ro2WYDT29Dc+WFjp/Pkd63v/xxx9t3HwjnKJbBzePu3Rp5v6eDt/s5yJe/73nYLHZ3sSa2l7hEEMgi6FDPNFhYffwpLLVG2dnTIvI7wIcJik0/CbwIeAiTOqco6nqIJdFqIlbwx9NgqDSaj+gRUAW/Fn8iZ4apeNjmykzxSs9XdD09FptSDs8LL7LvBwEoUYgi9iN+pkUsNB/dsxjFo3i8bWW+V1ps2H4SgmKpjxVZEklFPdIzSS16DKMSxbP4YeBSYI+qXgNcBHTPqFWznPi8eZG/+Illy2fWGIOhiiSWr4J4hMnpqsQXLZ15g2qERDyGaPkbvqhX8xHRMSeifarYdgRv2DTR0RYvOSd0HEFZviSIRpa6RqI85SugEVK7pBYvIMr0M83nSSzqKt8wRFrmoREcDZ7YWO3R93s6WAsWR/J22uLT68zniNuOH2Eqhubzx6LKZzNTma84K+csAhlVzQCISCKs6lK58KpZiJVMIfUN5efxAMkVaypjlMFQBepfdDX4Ee6+DQ0kVp85PysNMUUieGLEc2mI1bZXpSk3VP5cfI/6sd6KehcTcYuXnge2Vfr6JWLwpquDBxqxHcY6zyp7s1bLYXTeqrI2zL/yPCynjIASaDt/1ZRyLkpjK0PJBZHaji65JPJ+TwdnxfpI3lZJxOl2FvL8Vr+s51V9ZXD7ESQ5Pfkoq42vVuSl1ohi0X4RaQF+ANwlIj8EDs6kUbMdd3CQXG8/UHy4SVVRz2fgkYcraZrBUFHSbg7n2ldBqdQXsRjxG99ONh1t7ttcwN+3lfY9G0uKLPFc2vduDHLo1TCxXU8QSw+WjGq1fJeGvU9WNFBB3TxvvWyIZCzw1RQibivrFrmc1RIMlnmeT0/XBfhOvKiD0bdsMo0LONJ5CR7FhaCHjTOvnablC4I8u0Ww4zEWvWg1mik/B3Kc/lHY3PkqXCmeVsmVGHtaLmXHcGXiUfPDvbBk+fF8k4WwLNzl61lS10/iju9z6Odb8DLFPxNeNs+2/7qX4ed2TL/BlUaD5+aoS60RJRr6jao6oKofB/4auBl4wwzbNavJ9/chTgw364Y5UvWYaBz/Xz3Fy3m4fb1VttZgmDlcN49z1TU4L3slOA7EJtzc4gmIJ4i/7b3Yq8/CmyMRj1HQsREau7fRvvthxHORCdG34uUDobj7YRqPbkPTw1W0NALZUdp3PUpiuCcQjOOpXDTwntq5MeZtfwDby0cLHpkmfDdHR7Pw6V8fpaPJJxkLkpdA4G2MO8olq/L8xZvG0DAww/V8/GQDB8+/ETfRiG/FjolGxcIXm7GWJRw5+3p8O8aO+gvxsE8QjeOvd9Wdi+V7rH7TFbSuXYjYFmIfv+VacYd4Y4qz3/NyEu3NQRqciKRzMFy3iEeXvIuclcSV4w9jnjh4YrO7dQNbFryS0QixltOB5tKwaDksWgZinSgaLRtsG9aeBy1tNDoZmocPsPWLd3Pwnmfxci5e7viDkzuWIzc4xhMfu4Wxw0NkDx2tzEnMILM9dU7RySYi0lZg9XgMfgPQNyMWzQHs+oYgDYKCm3URSxBbEBHUV3zPPzYvxp6mck8GQy1iWTYiQuyl1+FcegXu44/i79uD2BbWmnXY516ExGKAYEWJ7pwjSDwBtk1T9zYaencx3LGKTFNQoi05dJjGnh1Yvgu2XfsVLJw4VjZNx56N5BP1jLYuwYvXY3k56gYOEh/tDW59YoEzPcmVoyC2A+qzqF354u+N8Mwem/ufizOaha5Wn1ecn6er1T/eFrBtK0ifk2ph3yXvIDl4kIbu7VhuFjfVzNCCdbipYP6c+kJvcil9iYV0ZPbR7AbeyWGnne7EUjwrRqf9EJZjs/qNV5AdGOHoE7vI9A5hJ2K0rV9K88oFwdC8+jCF9zkWFgTrq1/OXWv/hM7hrSwYfh5LXYaSnexruZis0wAEw+yVQOxYEBy0ZCV0LoGjB2EkrFjT2g7tC8CyEIWVS+BoexOur7xw073sueVRul5xLg3LOvCyLt0Pb6d34w7UV+zGepymhsqcxAwzmwNcSs1Mfozg81jo7BRYOSMWzQHi8+aRWLiQzJ7dQDDvQgv4la1kkvbrX11h6wyGylHf2MTIYD+qitTVE7vqmiItlWTdmfPgZC1eC48H1Rws36X56FaajxZIcaJgLantuZz2knV4L2wC3yOWHaXl8PMF20nL/EAkVwgrlsBK1ONnRrAELljuccHyAmmcLItY+0IAHNsiEXfI5FwQIdOyiEzLopO6iEDGC4SvLw5HUys4ysml9brbzqHhcB94eRItDSy55ryCtkp9E1ZD9CCO9sbjN2YVm0NN6znUtP6kdo4FyzoqI1Bi7YvI9+wPvMuxWOBhLIAtSjrWSvzG1+NuegzGxsj2jbD724WnZNmpJM0XnXxus5HZHNRddBhaVVeo6srw7+TFCMUydL77N7HKlW+yLNpf+arKGGQwVIF4MoVTRiCICHWNzVgVjJStNlZDM1bn8tLRo5aN1bUcq762ayA4K84LvIalsB2csy6rjEETSHStLD2HDgAhHopFgPltDWWz5whCXSpZsp0AucXnlD++HcM576oyNk7qYglru8Aus+u4A50tU9r1KWPVN2Ml6igV/u1j0et04otN7KVXY9XXlUxVZNelWPknv4PMid8GwZ/CUmuUnbM4MRG3ScodndaXvZz217y+sGC0LKxkitV//4/YDXPDvW4wFGPewsXYtlPwpiAixBJJ2uZFi+ycS8SvuhFpaAG7wACP7SANLcSvvLHidk0VSdQRu/w1wXkUuvHbDvbqi7E7l1fctljrAuIdS4oINgHLpm7VRYhzfKy2qSFJe3Nd0chtEWFpVwvrlySoi0vBXI6WQDIunLOigfjL3w5OrMi1iWGvPh97+TlTPrezFwvzmwoLRksCofjS9VKxCHQRIbV2Q1DHucAxPSzGrEYOxVdhCaTq41xx51dwmhuR2MnfAbs+xfzXXMPKD/9GBayfeZTZXcFFyqV3EZEfT3iZBC4DHlPVOZmUe8OGDbpp06Zp29/Ag7/i8De+xti2rceejtquuY4F73o3ycVLpu04BkMt43seQ/29jAyG9ZBVsR2HxtZ2GptbK56wuVZQN4f7/GO4zz96PPgjnsQ5+zKcsy5BKjjH73Txh3pxX9iEf3B7sEIVaevEWXsp9oLCQ5KVIj/YTfbQLvyxoWNCxmldQKJzBXaRtCzDoxmO9o+SzuSPaZ/mhiTzWhuO5b70fGV/r8veHo98GAzuWLCkw2ZJu4NjBx394X7cZx/E2705aOT7SNsCYue+GPs0phmoKru74fkDykg28OlZFqycD2ctFFLxyn+v1M2RPbyL/NE9QVlEVfKS4GhsMX2xLhzbYlF7jK62GLYlpPcfZufnvsS+//4e6nqo51G/dgWr/+x9LHzn66b1t0FEHlPVDdO2wymw9pxL9PPffDBy+1demKyarYUoKxZP6iCyBPiMqr5zZkyqLtMtFsfx0mP46Qx2YyNWrEIzjg2GGkNV8T0PEUEs64wViZNRVciF8+niqVl9XdT3IJcFJ3aCx64WUM9FfQ+xY0jZ4ekAz/dRX7FsC6vI+6KquONi0S5erUZ9D7Lp4NpMc+BSzlV8DTyKxeysJKqKurmgOo1l4/mhSC9yfXzXJd83iJVMEJuhgJZqi8V//+ZDkdtff2GipsTiqZQG2A+cO92GzHXsVB12qq7aZhgMVUVEsKNW/DiDEBFIzI3fB7FsSNbmuYjtHIt8joptWWUnbIkIBUZST25n2ZCaGSEUd6ovECciIscE8bjHsxSW45CY3z7zhlWLGs2fGJUotaH/jeMFkCzgQuCpGbTJYDAYDAaDYc6ggO/XlqCfClEesSaOybrA/6rqAzNkj8FgMBgMBsOcoxajnKNSViyq6lcrYYjBYDAYDAbDXGU251mMMgz9DJxUJnOQwOP4f1XV1KszGAwGg8FgKIJSmylxohIlHOwO4CfAr4XLj4H7gMPAf5/KQUXkrSKyWUR8EdkwYf1yEUmLyJPh8sUJ2y4RkWdEZLuI/KuE4VQikhCRb4frHxGR5RP6vFdEtoXLe0/FVoPBYDAYDIbTIgxwibrUGlHmLF6pqldOeP2MiDygqleKyK+f4nGfBd4E/GeBbTtU9cIC678AvA94GLgduIFAyP420K+qq0XkHcCngbeHta3/BthA4Bl9TER+pKr9p2izwWAwGAwGwykxm4eho3gWG0Tk8vEXInIZMB77757KQVX1OVUtUAi1MCLSBTSp6kMaJIb8GvCGcPONwPi8yluAa0Ov4/XAXaraFwrEuwgEpsFgMBgMBkNFUSTyUmtE8Sz+DvBlERkXiMPA74hIPfCpGbBphYg8AQwBf6Wq9wOLCPI7jrM/XEf4dx+AqroiMgi0T1xfoM8JiMj7CLyWLF26dPrOxGAwGAwGwxmPUpvDy1GJEg29EThPRJoJKr4MTNj8nWL9RORuoLPApr9U1R8W6XYIWKqqvSJyCfADETmHwpXJxy97sW2l+py4UvUm4CYIKrgUsc1gMBgMBoPhlJjNw9BRoqEXAH8PLFTVV4nIeuAKVb25VD9VvW6qxqhqFsiG/z8mIjuAtQRewcUTmi4GDob/7weWAPtFxAGagb5w/csm9fnFVG06XdT3GX5sI30/vwdvdJTk4iV0vPq1JBYtLt/ZYJhDuEODdP/kNka3bEEcm+bLLqft5ddiJZLVNq2qaDZD5pmHcfe8AICzbC3J816EzMLrksvlGRwaIe+6WJZFU2M9qWSi6uULVRW//zDe0T1oPofUNeJ0rcaqayzd5+hevL3PQy6DNLRgrzwfq7H1hHbZvPLUTp9dh31UYfkC4cJVNslJdZnHssq+Xo/RTFDyrqvVoqNRTvvaqPrkhvrJDfehvo+TrCfZOh8rVr264kMjHvc+PMi2PVkAWlqTxFIpbFtYtdDi4rXOCdfH7e9l9IG7yR3Yg8ST1F14GanzL0Vsu1qnMCPMZrFYtja0iNwBfIXAI3hBKMieUNXzTvvgIr8A/kRVN4Wv5wF9quqJyErgfuA8Ve0TkY3AHwCPEAS4/Juq3i4ivx+2eX8Y4PImVX1bGODyGHBxeLjHgUtUta+UTdNZGzq9exfb/vyP8YaH8NNh3VfHQSyL5iuuZMVHP4YVr94X2mCoBKrKoa9/jYNfuRlE0GxwA7FSKRBh5cc+TutVV1fZyuqQefxXjP70f0EE8rlgZSwOCvWvegfJi66qroER8X2fQ0d6GEtnTrghigiObbNo4TziserUifZHB8k9/XM0nwXPHTcMxMJqX0j87CtPEiX+cB/5X96C5tLg5sM+VtCnazmxy1+DODGe2OHxo4eCotD5cNcxJxAFr7rU5vJ1Np6vPLPH48igonp8eMu2IGbDhlUOjalTE4z50UGG9m4Naov7/vFzA5JtndR3LquoUFdVvvvTPm65sx8RyOWDsxUrsGHB4jZaW5Mo8MarYlx6lkX/t29m5IF7AAU3uIiSSCKxOPM++BckVp41bfZVszb0ynUb9O9u3hi5/buuskraKiI3AP8C2MCXVPUfJm3/NeDPw5cjwAdU9alw2/9HMMVQgWeA31TVTCl7ogS4dKjqdwAfgnmBgBehX1FE5I0ish+4AviJiNwZbroaeFpEniIIVnn/BHH3AeBLwHZgB0EkNMDNQLuIbAf+CPhIaGcf8ElgY7h8opxQnE6yhw+z9Q/eT7776HGhCOC6aC7H4EMPsuNjH6WcWDcYZjuHv/kNDn31K2gud0woAvjpNP7YGDv/5q8Z3PhIFS2sDpmnH2L0p98KxMi4UITgfzfH6B3fIvNM7V8XVeXAoe6ThOL4trzrsm//EVz3tG4bp2ZbZozs4z9DM6PHhWJgGPgefu8Bcs/84oTfYR0bJnfPN9GxoeNCEUB98F38w7vJ/er7PLPT5UcPeuTd40IRgv9dD3660WPTVpcndgVC0dcT50F5PmTy8PALLmPZqd8H8mMjDO5+HvW840Jx/NxUyfQdYfTw7inv93S45c4+br2rn7yrx4QigPqK+sqRfb0MDmbJu/D9X+V54QtfZPShnwfX2T1+ETWbwR8Z4ui//C25A3sqeg4zSfjWRFpKISI28HngVcB64J3hqO9EdgEvVdXzCbTQTWHfRcAfAhtU9VwCsfmOcrZHEYujItJO+DkXkRcRJOU+ZVT1+6q6WFUTqrpAVa8P139PVc9R1QtU9WJV/fGEPptU9VxVXaWqHwqjolHVjKq+VVVXq+plqrpzQp8vh+tXq+pXTsfmqXLoqzfjjY0Vfdc1l2XkqScYffaZSpplMFQUb3SUA1/+L/xM8YdWP5tl9z9++ox6cFLPZeyn3wI3V7yRm2Psjv9FvVNKOlExxtIZMtlcyRuc5/v0DZzWbeOUyO9++kTBNxnfxx/swR84emyVu+XhE8X7ZDwX7T3Ek4/sIV9C/+Y9uG+zT++wlgxscH3YdmjqQnr00K5AwBZDfTJ9R/Dy2eJtppGRMY9b7uwnmyt+sqrQfXAAgLrRw8SevQ/NFbdPsxn6v1vRW/eMMo15Fi8DtqvqTlXNAd8iyAxzDFV9cEKqwIc5cSqfA6TCkeI6jk/rK0oUsfhHwI+AVSLyAEHamj+I0O+MxUun6bv3nhOf9grgZ7Mc+e63KmSVwVB5en7200jDYG5/P6ObN1fAotogt+0ZNMIdQX2f/LbafqDsHxiKJPQHh0Yr+kCgnot3ZDdF4hqP47u4+5473mfP5tIiDFAvz8U8UdaG+W3RImAPDyiuF/3aeNkMbmY0UttM35HI+z0dfvHIUKSEL27eI5vOcX7P3UiZ6wyQ3fEc7kDFBgVnDAVUJfJShsjZXkJ+m3A0VlUPAJ8F9hIEFQ+q6s/KHbCkWAxdnS8NlxcDvweco6pPl9vxmUy++2i0ibmqpHdun3mDDIYqMfbCCyW9isfQYI7vmYLXfRCieHzyWdzuQzNv0GmQzZXw3E3C9So3FK3Z9LH5e2Xbjg4Ef9MjFE6kcSICdEhP2XapRKTDIwLpEs7MyXjZNCIRfD2quOloovJ02bEvSzYfQfAK5LIu88d2YkeY0SZODPfIgWmwsMpMYQg6fKbqEJFNE5b3Tdhb5GwvInINgVj88/B1K4EXcgWwEKiPUmClZDR0GGhyo6r+P+DMeew/TcS2yz6ZntDWYJijWFGDGuTM+i6IZQcBE1rmZilWzV8XiZxAWKfQdhqwJHr4aSgqxbIo64kM8SMMzE3FkTqlOJQpNK5UgEvMmcJxBHyJkuaZ4O2wavs7EJUp5lnsKRHgMp4FZpyJGWKOISLnE8R6vEpVe8PV1wG7VLU7bHMrgTPw66WMiTIM/YCI/LuIvERELh5fIvQ7Y4l3dkVKByJOjKbLX1wBiwyG6tB82eVYdXVl26nn0XjRRRWwqDaILV8HUUSgbRNbPn3RoDNBXV20FD+2bWPbUW4504Mk6sGO8LAigtUWjuClGiFW3h2oYrHTX1623eBI+cNDoGvrInohAZy6BjSKQ8KyiE9K9TNTXHxOPalEBMGoSqouwY7mi8lbEbKB+B7xpStP38AqEwxDT0+AC0HQ7hoRWSEicYIAlR9NbCAiS4FbgXer6gsTNu0FXiQidWG1u2uB58odMMo398XAOcAngM+Fy2cj9DtjEdtm/lvehsTLfPstYf6b3lIZowyGKtB8xYuxEuW+BxYN551PorOrMkbVAM6i5VjNbWXbWc3tOAuXz7xBp0FrS2NZ75WI0Npcvt10IiI4S9aV90qJhbPkrGN97LUbwC7t9RLLYkfqwrI2jI4FQrAUlsCyeRbWFK6NZTskmtqIMmSeaOmIvN/T4dJz63EieBeT9QmcmM3zbVeXt952qL/8ZXMmF+t0icUwK82HgDsJhN53VHWziLxfRN4fNvsYQTW7/xCRJ0VkU9j3EYJsM48TpM2xCCOlS1FWLKrqNQWWl5frd6az4G3vILViBVIkj6IkEiz63Q+cUTdIw5mH2Dar/++nsJJFfuxtG6exkRUf/evKGlYDNL7l9yBe7CYoSCIZtKlxEvF4ScEoAslEnJbm4gmwZwpnyTqkoQWsIrc6y8ZZcT5W6rhtzpqLkZb5YBURjLaDvf7FvOqaeSRixeVa3IG3vsThrEVWUcFoCTQkYeWCqXtc67tWYDklPKdi0bh4TTDloQLYtvBnv9NFIlZcAlq2xfyFrQggyToSb/t9pFjycMfBaeug5U1lp9PNGqYxGhpVvV1V14YZYv4uXPdFVf1i+P/vqGqrql4YLhsm9P0bVV0XZph5d1gQpSRlk3KfaUxnUm4/m2Xff/wbvXfefnzekSp2QyOLfu+DtF/7imk5jsFQ64w8t4U9n/0M6d27wu+CoPk8TZdcwrI//QiJBQuqbWJVcLsPMfqT/8E9uPu4OPFdnIUraHjtr2N3zJ6HycGhEXr6BvB9RTg+86+5qYF57S1Vq+Kinkd+++N4h3cE80THLXNixFZehNO5okAfF/epX+LteibsQ9DPSeCcfzXO8iClXc+Q8sMHXfZ1K+Mj7J4PC9uFG6+wWdAarDzU7/H8Af+EVDuqsKhNOHuxjV3O/VgE380zcnAnueH+4+emYMcT1HetIN7QfEr7PR227krzn9/u5sCRHJYV5J30faW+IUHXklYsx2bpfIu3vDTO/FaL9ObH6f/2zXgDfcdEvboudRe9iLZ3vg+rrn7abKtmUu5lazfoR/89urZ4//XVs7UQRixOYjrF4jheeozhJ5/AT6eJL+ikfv05VS9/ZTBUg/Se3aR37EBsm/pzziHeMa/aJtUEXn8P7uEg+bDTuQy7tTJDh9ONqpLJZHE9DxGLulQCq5hXr8Ko5+L3H0G9PJKsx2rqKPs7rG4Ov3s/hCUCpX1hwT79I8rBnuBe2tkmtDed3EZVGRhTMrmgektbg+DY03Mf8N08+bFhUB87nsJJTZ/AOlX2Hcqy91AO2xbmtccZzQafg0XzLNqbTvxMqCr5fTvJHz2MxGIkV6/Hqm+YdpuqLRb/4t+ia4sP3FBbYjFiOJLhdLBTdbRccWW1zTAYqk5q2XJSy5ZX24yaw27tmLUCcSIiQipVm/PLxHawO0qloivQx4ljd5UPrmhtEFobIszbrBeYAR1nObFwDmPtsKQrwZKuaFE7IkJ86SriS1fNsFXVZTb75sqKRRF5U4HVg8Azqnq0wDaDwWAwGAwGQ4hGnItYq0TxLP42QQ3nn4evX0ZQOmatiHxCVf9nhmwzGAwGg8FgmBPM5ml/UcSiD5ytqkcARGQB8AXgcuA+wIhFg8FgMBgMhhLMYq0YSSwuHxeKIUeBtaraJyLR6zwZDAaDwWAwnKH40Qq71SRRxOL9InIb8N3w9VuA+0SkHhiYKcMMBoPBYDAY5gIRK7PULFHE4u8DbwKuIsg/+lXgexoMvl8zg7YZDAaDwWAwzAnmdICLqqqI/ArIEWQzfVRn8yxNg8FgMBgMhgozm5VT2WypIvI24FGC4ee3AY+IiClobDAYDAaDwRABVfA8jbzUGlGGof8SuHQ8p6KIzAPuJihEbTAYDAaDwWAow2z2LEYRi9ak5Nu9RPBIGgwGg8FgMBgC/Fk8aTGKWPypiNwJ/G/4+u3A7TNnksFgMBgMBsPcQZnjnkVV/VMReTNwJUE09E2q+v0Zt2yO4A0PMvbQPaQfewA/l8Vpm0f91TeQPPcSxDaluQ1nBqpKdvtzDN75A3J7doJlkTznAppfcSPxrsXVNq+qDIwq2w4rvcPB6/ZGWNMptNSXrjVca6gqI6OjDA4O4roulmXR2NhIU2Mjtm1X1bbBEY+7Hxzivk0jZLI+89ocXn11M5edX49jF77Omkvj7nkO/8ALqJtHUg04K87D6lyBWMfPxxsbJnt0D+7IAABOfTPx+ctw6puO70t98oM9ZI/uw89lEMsm1rqARMcirFj8tM4td+QQ/Xf8kOGND6GeS2LxMtpf9xbqzr8Ikcp/hlQVf7iX/MHt+GODqOvhdncz+sST+KOjJFevo+kVbyC+dOWx9tnRYUb7juLmsohYJBubqW/twD7Na1NTzPLUOWICm09kw4YNumnTpmnZV+bZx+j/2r+iKOSP5y+XRBKrqZWOD30Mu6llWo5lMNQq6uY5+h+fIf3cU2gue/wX07IR26bphjfS9sZfq66RVUBVeWK3sq83SNY7/kssgGXBkna4aLlU5YY/VfKuy8GDB/E874SSZuO2d3Z2UpdKVcW2xzeP8bn/PoIq5PLHbUsmhJZGm0/84ULamk98cPeO7iX/2J1hQV/v+AY7hiRSxK+4EZL1ZPZvJddzMPxMT7iXWhaxlgWklq1H3Twj2x7Hz2dP3JcIINQtP4d4y7xTOre+23/A0a/9F6o+uO7xXSeTJFesYelf/R1WsnLXXX2P7NZH8YZ6TjhX9TxQZezpp0k/8yzixKi//KW0vON36T+wCzebCc7h+BmAQNOCxdS3tE+bfSLymKpumLYdToFFKy/R9//dI5Hbf+xdsarZWoiicw9FZFhEhgoswyIyVEkjZyO5vTsCoZjPnSAUATSbwes9Qs+/fyL4EhkMc5ie//486S1PotnMiY/Wvofmcwzd+QOG7j3zZrZs2R8IRc8/QWagBOv29QZtah3f9zl48CCu655U+1ZVUVUOHz5MLperuG0792f57FeOkM3pCUIRIJNVuvtcPvavB3EnRJ/6Qz2BUPTcE8UdgJdH08PkHvoh2YM7yPUeBPU58R0EfJ98/xHS+18IhGI2ffK+VEF9xnZvxh0dnPK5DT10P0f/50vBPWaCUATQTIbM9ufZ/4+fmPJ+T4fsjifwhrpPOlexbcRxqDvvPBKrVqG5LKOP/JLuZx4ln0lPEoow7oYbOrKfzMjckRvqR19qjaJiUVUbVbWpwNKoqk3F+hkChu/4bvAlLobv4w/1k9nyeOWMMhgqjNvfy+jG+wOPYhE0l6X/+984ox6c8p6y7XAgCovh+bD9CCcImVpkdHQUr8x7p6r09fdXyKLjfPv2PvL54tfP82Fg2GPjM6PH1rlbNwZCsRiqaDZNfs+zpeu3qU+u50DgUZwsJie1yxzcWeIsCpmgHP2fm0p/r/J5xrY8Q2bPrint+1Txs2N4vQdLXhOJxai/5OLAq9rWgR+LUfraKMPdB6ff2CoQzFnUyEutYaKaZwB/bITsts1l22k2w+h9P62ARQZDdRh58N5I83TUc0k/99TMG1QjHOwLRyHLIMCBvhk357QYGByMdHMbGxvDr2Bx3NG0z1Nb06WkCBB4GH/yy8Czp24Ov3tf+Z17eeyRiOJ3skexAO7oAL4b3fOa3bUDd2CgbDt18wzcdVvk/Z4O7tG90RraNrHOBVgXXAoR5u27uSxuLnOa1tUAGujoqEutYcTiDOANDSBOtOAVr79nhq0xGKpH/sghcPPlG/o+Xt+Z810Yy5X2Ko7j+pCOcPmqSTmv4kQqKRYHh92iwSuT6ekPzkGzaZBot0VxS3gfx4nqIRKr9EjUJPK9RxE7gp2+T+5QZTxzfmYk2vipCFZ9PdLShljlz0FE8PI1/iWIyGz2LJpw3BnASqQiD6lJIjnD1hgM1cOqbwhcaOV+/CwLqeBE/GoTs8GS8rViLQGnxh/powbgqGpFg3VSCYuoOjaZCOwSJxZ5wphGEDqRUQUresS4lawrOXp7Qtu6+lM0amqIEzFyWRXN54M5zFH3PZ3XukqMV3CZrcz+d6AGsVrasFvayjeMxUlteMnMG2QwVIn6DS9G4hFuIp5H6pyLZt6gGqGzJXrbrtYZM2NaaGxoiNQuHo9XNIVOa7PD/Lby/pB4TLh6Q3AOkqhD6iJMybds/FSEdiKRPJVWLI4Vj+44SJ21PlI7SaZovvrlkfd7OjjtCyMJXrEs8gcPoc89XXLO5YQexJJ1p29gDaAafak1jFicAUSExle+CeKJsu3qL3tZZYwyGKpAYuVZOO3zS98wYzHqL70Suz6a6JgLNCSF9sZgTmIxhCDnYn2itlPnNDU1lfUYigitrZVXvW+5vpVEvJxtcN0Vx4Wfs3ZD+bl0IsiCZZR+B8FONZafnGpZJBYsn5LX1YrHab3hdUiZe4ydStFw8eWR93s6WI3tSLz06IC6LpkdO9F8Hn/nC2WuHiBCfdu8WZE+Kgq+r5GXWsOIxRkiteElpC58UeEvswgST9D6W38UDNMZDHMUEWHB//kYVkMjFPIqxeLEOhfT/u4PVN64KnPZKiEVD4aaJ2MJpOJBm1rHcRwWzJ9f9IYuIjQ2NtJQX5nh0IlcdUk9L7mkoaBgFAm8in/yWwtoajj+2bS6VmEvOqu4YLQdYpe8ktTqiwJvYKEHIREklqB+1fnUrzwvSJxZCMsi1jyfeHvXlM9t3tvfS2rNWYXvMZaFVVfPkr/+B6RC3lwRIXn2FeDEKSSi1XVxBwYYfeQRcGLYTS20LlpZfIhZhERdAw3tC2bW8AoxlfmKtThn0STlnsR0JuVWVdKP/YqRu36A29eNWDbquyTPvojGG95MbOGyaTmOwVDruIP9DN72HYZ/dU+wQhWJJ2h6xetpvv5GrDIekrlKzlVeOKTsPDohV7nAivlwVpcQc2pfLI6TyWbp7+tjLJ1GRFBV4vE4rS0tNEQcqp4JVJVfPTbK937Wz5FeF9sO0hFddHYdb7uhlRWLT/7sqSr+we242x5Dx4YCQage1rylOGs3YDUHSbTVc8kc3k2uZ3841zF4v+LzFpNYsBzLiQHgpUfIHNpFfqgn3JdixRMkFywn1tZ5yp4zdV367vghfT+6BW9kKBgG9n2arrqGeW/9dWLzKy+0/FyG/P6tuN17j9mouSzp554n8/xWEIvGl95A8w1vwqqrx81lGe45TGZ4AEFQFMt2aGibT11rx7R6FauZlLtz2cX6nr94IHL7f/xAXU0l5TZicRLTKRYn4g32o7kMVmNLRTPqGwy1hObzuP09YNk4be0nlE07k/F9PRb1nIqBVcjdOEvwfB/P87BEcCJmhagU/YMumazS3GRTl4w2sKaZMdTNBfMZi5SfU/WPzb+TeAIpMu1CPRc/n0NsGys2fQ9Iqorb0426eZy2dqwaCJxU30NzmcCFa8XwBoMcUE5Le8FsIb7v4bsuIoLlxGZk6LnaYvHXP/KryO0/98H6mhKLtfVNnsPYzTU+S91gqAASixGbP/Uht7mOZQn1c8S5alsWdo1Gr7Y2T/2WJ8k6hNIBFiIWkijvBBDbwY6QW3CqiAixefOnfb+ng1g2kjw+9cDqKO3ltCwbKz63Hx5ns3POiEWDwWAwGAyGGUSVmgxciYoRiwaDwWAwGAwzzCx2LBqxaDAYDAaDwTDTqPEsGgwGg8FgMBgKoap4UWp81ii1OQvZYDAYDAaDYQ6hvkZeyiEiN4jIVhHZLiIfKbD910Tk6XB5UEQumLCtRURuEZHnReQ5Ebmi3PGMZ9FgMBgMBoNhJtHyteCjIiI28HngFcB+YKOI/EhVt0xotgt4qar2i8irgJuA8XI+/wL8VFXfIiJxKBPuT5U8iyLyj6GifVpEvi8iLRO2/UWolLeKyPUT1l8iIs+E2/5VwiRMIpIQkW+H6x8RkeUT+rxXRLaFy3sreY4Gg8FgMBgMAMq0ehYvA7ar6k5VzQHfAm484XiqD6pqf/jyYWAxgIg0AVcDN4ftcqo6UO6A1RqGvgs4V1XPB14A/gJARNYD7wDOAW4A/iNU0ABfAN4HrAmXG8L1vw30q+pq4P8Bnw731Qb8DYGSvgz4GxExyQ4NBoPBYDBUmCmX++sQkU0TlvdN2NkiYN+E1/vDdcX4beCO8P+VQDfwFRF5QkS+JCJla3FWRSyq6s9U1Q1fHlO8BMr4W6qaVdVdwHbgMhHpAppU9SENruLXgDdM6PPV8P9bgGtDr+P1wF2q2heq67s4LjANBoPBYDAYKkOYZzHqAvSo6oYJy00T9laovE1Bd6SIXEMgFv88XOUAFwNfUNWLgFHgpDmPk6mFAJff4rjiLaaWF4X/T15/Qp9QgA4C7SX2VRXU9/HzuWod3mCoGdRzUX/2RgXOFOr7c+K6qGpQ6q0Gk8qp+qibn5JtUc/HV42UdNnzdUauTWBnbX1+1POO2TTBY1YU15uZa1MrTNGzWIr9wJIJrxcDByc3EpHzgS8BN6pq74S++1X1kfD1LQTisSQzFuAiIncDnQU2/aWq/jBs85eAC3xjvFuB9lpi/an2mWzr+wiGuFm6dGmhJqfM6LNP0X3LNxh96nFQsJJJWl/5GtpvfAux9nnTeiyDoVbRbIbM4/eTeehn+EMDANjzF5K66lXEz70MqdHycDONei7u9qdwNz+IDgfTi6SxFeecF+OsvgCZgdJwM4WfHSN3eDf53gPge4BgN3eQ6FqJ3VDdGUDe4T3kn7oP/+COYIUTw1l7Mc45L8ZqaC7cZ7Cb/J4t+P2HAQXbwelcibP4LKywjJ3nK3u64fmDykgm6FefUM5aCCvmC3ZY4zudU7YfVnZ1g+sFN6d5TcpZC4V5TadeA1lVyQ/2kD2yB29sCABxYsTnLSbRsRjLiZ3yvk/ZpnwWd8dTeC9sgvQoiuKlmhnpXEOmdRFOLE5TayuNTU2IWIxllSd2wpO7IBv6U7ralMvXwooFzEiN6GowPmdxmtgIrBGRFcABgul775rYQESWArcC71bVF47ZoXpYRPaJyFmquhW4FpgYGFOQGfslUtXrSm0PA05eC1yrx2V0MbW8n+ND1RPXT+yzX0QcoBnoC9e/bFKfXxSx9SaCSCE2bNgwbe/m0W99jZ5b/xfNZo+t89Nj9P7k+/TfdTvL/+/nSK1aO12HMxhqEn90mMGbP4U/1A9u/th67+gBRn78NWJPPUTju/5gVgmj6UDzOTJ3fhUd6AHv+HXR4X7yG3+Gu+1xkte/F4nFq2hlNNzhftLbNoHvc/yZXPEGuxkb7iW+cC2JzuVVsS335C9xn77/hM8e+RzucxtxX3iCxA3vxZ534qBTbu8W3D2bQ9Eb4rm4B7fhHt5J4vxr0Po2frlFGRiDienzRrPw1B7YeUS55lwYzcB9zyu+fzwaVoGjQ9A7oqzuVM5ZPPWHJVVlbM8W8oPd4XUP17t5sof3kOs5QOPaDVjx5JT3fapoZpTc3V9HM6PgBTPNBHDSgzTteYJk3z4GVl1Of083I0ODJFuW8K37hZx74jU82Ae3bYSzl8B1F+jcEIw6fWJRVV0R+RBwJ2ADX1bVzSLy/nD7F4GPEYyy/kd4/VxV3RDu4g+Ab4SR0DuB3yx3zGpFQ99AMH7+elUdm7DpR8A7wgjnFQSBLI+q6iFgWEReFM5HfA/wwwl9xiOd3wLcG4rPO4FXikhrGNjyynBdRRh65IGThOIxXBd/bJTdH/tTvHS6UiYZDFVh+Nufxx/oPfFmPU4+R37PNsbuuqXyhlWZ7AM/RPu7TxCKx/DyaH83uQd+VHnDpoi6uVAoehQcvPF9cgdfwB3qPXnbDOPtewH3qfsLf/Z8D/JZsnd+Dc0f/532+g6dLBTHUQXPJfv0L3h8e5b+0RNFzrF9+DCUhodfUH61VXG9wmlTPB+2H4YDfVMXEdmje08Sisft9NF8jpHtT1R0WDd3/63o2PAxoTgRy/eID/XQcGALqko2m+M793tkcoWvYd6DLfvgqd0zb3dl0GCqQsSl7N5Ub1fVtaq6SlX/Llz3xVAooqq/o6qtqnphuGyY0PfJcB7k+ar6hglR00Wp1tjPvwONwF0i8qSIjJ/cZuA7BC7RnwK/r6rj39gPEIy9bwd2cHye481Au4hsB/6IcKKmqvYBnyRw124EPhGuqwjd3/pqYaE4AXXzDN53T4UsMhgqj3tkP+7BPYVvvMca5cg8dh+aK/19mUv4Y8P4+14A/+Sb6vFGLt7+F9D0SOUMOwVyPfvLF731fbIHt1fGoAnkn/h5YTE+Ed/D3f7U8T67ny39eQVQH+neUzJvnq9wZLCwEJqI58NzB6Ym6FR9skf2FBaKE23I53BHBqa071PF7z+CDnaDFrfJUo+67l3gexweqiPrWoXnhoW4Hjy8lTkxj1EB3/MjL7VGVcZ9wjQ3xbb9HfB3BdZvAs4tsD4DvLXIvr4MfPnULT018n29ZPftKdtOMxn6f3Ybbf8/e+8dZslV3Wu/q6pO6pxmuidnaaRRHI0khAJCEiCCESC4BBswDhj74vD5s+8HDtfYXAecbbDNxQaDjW0MiJwkkBBCKI5yGI00eXpS93TuPrGq1vdHVc+c7jl9TvV09zmne/b7PDVzumpX1doVf7X23mu95g1VsMpgqD65Zx4Br8KLF8CyyO95lsSFVyy8UXWAd+gFiNi05h7cRWzrlQts0dlT6O8tKxAm8SeGUc+tWncDzUzgD56oXNAt4O5+jNgFV6GFHP54RScL+B5rZB/77S1li4lUFosA41lI55SGRLRrwpsYjSagfI/8wDFizQvfZ9Q78Fy0ex0hMdrH/pHVuH5lf1W+AH0j0N02ZxNrSzgaerFybnUSqhLe+BjiOGihwhct4I2NVsEig6E26MRoJCGB76OZiYU3qF7IZUo21Z2B5wZl65ko9QAQC3UL1ROL+QxYdmUvIZw6xurmwbIiKbyYzl90C0uCZteoaCVvaXFZtzpRODSXZoYxpNNLYrl58p5duSiB4M4ukUAi8zjApeoYsbgAOK1taCHaA9Rp61hgawyG2mE1t0V6YYtYWI0t1TGqHkg2gh2r3ERqx5BUxXi5NUWceDRBoj5SxdG5kmyIJhQBwmMsTqJi0+4keUmcrWln4CvEZ/E2Fif6oCeJzZ+dZfeTagaxInwcCl4sSdJxmTlwyWlUoaE6VVhgFndYoHMzXsUC47S2kdxceZSzJFN0vO62iuUMhsVK4tJrAk9NBRSIbd628AbVCc66C6J5XFHstRcsuD1zIbZsTaRzbLd0VnXEuyQasJavrlzQiRO74KpgnVgcq7Wr8jqWzUF7xt5Up1AFO8JbtrUBUvHoI37thhbEiuCZsywSXSsjb3cu2BsuinQdIJBvXsbGjhFsq7J4akhA1xL4jlQ9HUs1ylRvGLG4QCz/6fch8TKfQyLYqRQtL39F9YwyGKqM3dlNbMNWKCcSYnFSL391Vb1OtUaSDdgbLyl/XGwHe+MlgYesjol1rQKpIFzEIrGisriab2KX31T+GAM4sUDoTK6z/uLAG14O2yHRvbasELQFVndCrNKmLLhw9exCw4gIyRUbKogzwU40YjdUR2lZLZ1I16qyx863bMa7zwPLYnlTlqaEj1Wm6o4N116wdGItzjKDS11hxOIC0XTJdnp+/lcCwWhPvXkkkcBuaWX9n/wtVrz+Y6gZDHOh+a2/hN29Gko1h8XixC+4gtQN594gr/jLXofVvQ5KiWQnhtW9jvjVr62+YbNEbIeG868KmtVl+itFAu/W+ouwm9qqbpu9Yj2xl70uEIzTBYftQKKB5OveN+VDxW5dRmzzFaHombaOZYMTJ3npTVy6MUZ3Kzgl3qKOBZ3NcOUm4YYLhIRzpodRCOZdtAa6W2cvhuKdK0l0rSpxzAHLwkqkaNx0aVWFVvzaNyGtXcG1UIQSCMVs+yrSPVsQEVINKd5+g0Nz6kxBLQRC8crNcMGapSEUYV4zuFQdqUejasmOHTt0586d87a97KH9DHztS4w+dD9ayOO0ddDx+jfTfstrsZua5m0/BkM9o55L/vnHyfzku3gDJ0CE2OpNJK+9ldjGC5aM52C2qGoQC/DZn5wauWt19uBsezn2mvMW1XFRN0++/zCFvsPhQBGbWHsP8Z51WMnaPuv8oT4Kzz2Id+B58Fwk2Yhz4dU4521HEqnS60yMUOjdjXfyMPg+Ektgr9pCrGfTqUDpqsqxYXjhiDIUjs9qbYALVgkr2sEKz1/BVQ6eVPYch2whEIkr2mFLj9DaMLdz7I6PkOs7SGFsCFSx4kkS3WuJt3dHa6qeZ9Tz8Ht3477wCDo2iCK4zZ2MLd9MobmLeDJJa3sHqYZGRISCqzx/GB7bC2PpwFm6fjns2AIr2uf3+heRx4rjDVaTju6L9eZ3RY+b+uW/3VgzW0thxOI05lssGgwGg8FgqD21FIvt3Rfrze/4euWCIXf8/aa6EotmNLTBYDAYDAbDAuNHGtRWnxixuMC4E2lOfOPbnPj6t3EnJkitXcPqd7+DtquvXFRNTAbDXPEnRnB7d+OPDQYDvDpW4KzcjCTqewDHQpPNe/QN5xlLB+G2mhscutviJOLVb0KcC76v7HxyiDu+fZTjfVmaGh1ed0sPN1+3jGSytnXxfGVoNMvQWBbPVxIxm662FE2p2IzPYXULeId34x3aBYU80tiCvelSrGVrpqyTK3j0D2cZSwdhkJpSMZa3JaecP1VFh07gHnoeTY8Gg2p6NmKv3DzngV1+epz80w9QePEp1HOxl68iccUrcXrWzGm7c8EbOE7h6Z/g9/fiY5FetonBlZfhJ5poanDobkucOj6qio4NBs+GiRGwbexla3CKmvuXAqqK7y5esWiaoacxn83Qw488xtO/9Kuo7+Onw8C64Sjohk0buPRfP0msdQnEBDAYyqDqU9j9KF7fZHqy8JljWaDgbLqM2Orza2pjLVBVek9mOTGUAz0dzljCf3raE6zqSi6Kj8qh4Ty//ntPc+xEhkz29AsxlbSwbYu//qOLufC82jzrxjMF9h0dAdUp6fksgUTcYdOqVpxpo0/8gaPkf/L1MBd0USxMO4Y0tRG/7s0QT3J8IMPxocyU8wfBWJplbUlWdTWAmyf/+PfR8aGpAcxtBxBil9+M3bHirOqWe34nme/+R/DHZP5rscC2cTZcQOMb31fVKAPq++R++GXcvc8EdQ31hW85gHJiy82Mrr4cBLrbk6xsdyg8dz/+SP/UmJhhX8v4BS/HXhYh/FFEatkM3bb8In3F7XdELv+NT26tq2ZoMxp6gRh/8SWe+oVfwRufOC0UAVTx0mnGX3iRJ9/7/rqMp2QwzCeFPU+EQtFjyivV90F93H1P4Z44UCvzasbxwRx9Q7kg/lrRfCV4x54YynF8sP7zZbuuzwd/5ykO9U5MEYoAmazP+ITLb/ze0xw5Vv1MNNm8y74jw0E4kml+EV8hk3PZ0zs8ZfSpPzZE/v6vgZs/M2i6V0BHB8j/+Cv0DaY5MZQ54/xBcP5ODmc5PpAm/9hd6OjAmZluPBe8AoXHfxB422dJYf+uQCi6hdNCEYL4nW4Bd/8u0t/+91lvdy7kfvz1QCi6hSn5wi3fxfI9ul+6h6YTu1CFvqEs40/9+EyhCMHfvkd+1wN4w31VrcOCoeD7fuSp3jBicYHY/7f/iJ+d+UGvhQKZ/QcZvP/BKlplMFQXzWfxju4pn0nD9yjsfaIuw0UsFJ6vHB3IniFgivGVoEwdxlwr5kcPnqSvP4db5hRncx6f++LB6hkVcnxgouwxBsgXfEYnTmegcXc9VD6FofroxAhjB16qeP7Gjh5CJ4bLB2D3Xdw9j5c3sgSZu++YKhKn4xYo7HkaL0p+7HnAnxjFfeGxsjZZvsvyl+4BVeL5UezxEkJxykaDZ8NSQX2NPNUbRiwuAO7YGAM/un/Kl1UpvHSaw/9a3S8/g6GauMf3UymdFwCeiz9cnZdaPTA8Hj2379AsytaCL369l0y2fFo934e77+snl6+ex8TzlZGJymkIfVX6hydzQxfwj+6lYo5jr0D7yV0Vt90xsg+NkDvbHziCFqJ7kb3+o/gjEbyRvk/+ifsjb3cuFF54LFI5y82RGu6lY+JQpCxGOjGCnxmfq3k1R1FU/chTvWHE4gKQO9GPFYvWTyRz6PACW2Mw1A5Nj4JGyM+rimYnFt6gOiFX8Ct6vCDwTuUK9ffiKObYiWykciIwMlo94eu6XpTPFCAYpAIE12CpINcliOcqC5hYYSKaDWLP6vr3Rwai5RH0/SCuaRXQob7yHtkiYtkR4u54NAEiFppd/GIRXdyeRTMaegGwU8lIX5MAdmJJZEg3GEoTtXO9SOUUa0sISwJ/a6VXgoRl65l4PJq4cj0lEbHsfCCWVDy+k0wGzxY7FjFnd5CRpBJaKQ3iqYJ+5bSExTjxyhdPiFQrS1i59LZTENRy8KMeGxSspSFV6lEERsV4FheAxMoVxNrbK5azEgmWv/7WKlhkMNQGu3NVtAe972O39yy8QXVCa2MsUus8Aq1N9Z0z+8aXLyPmVK7MmpUpWluqV5eYbRGL4H0TgbamUOgkGyAVIduMZTPauq5isZGmlWiUj6BYAkk1Vy4X4qzaEEYWqLzd2Nbtkbc7F5wN2yBCqBtRj4mOdYymVuBFEoyC1Vz5fVr/KL76kad6w4jFBUBEWPtLP4eVSlYoCCvfcXt1jDIYaoDVthyJV7oPLKzOlZXLLSFSCZuGROUXZUPCJlXn8RZvf8MqrAruz2TC4t1vW1sliwJEhOXtDWekhC5FV1vy1DrO+VdW9vKJkF95QcXtZjs2Vv4msGyc9RfPKkSSxOLEL3lZRTvFtoltuTTydueCvXpTxZipvtiMLTsPP5ZiJLUCqXR0LBt71ZaapC2cb3SRN0MbsbhArHrn2+h4+ctmFIxWMsEFf/EnxDs7q2yZwVA9RIT4xTeAPYNHSSwk0UD8/Kura1gdsHllI44988vSsYXNKxuraNHZsaI7yW/9ypYZm5iTCYsbruniVa9YXmXLoLM1SUtDfEbBKAJrlzcTc06LEXvdhVg9G2YWYraDs/0W1q7rIVbh/K1f20XsklfM3MXCsrE6VmCv3Rq1SqdI3fgm7K6eme+tWJzGt/4yYldHaIlYJF//sxBLUOqA+2JTSLVwYutrALAdB2fb9WWPjTS1E1t/0QJaXV3U9yNP9YYJyj2N+QzKrZ5H77/9J4f++bO4ExOIbaP5As0XXcjG3/o12nZUp3nAYKg1fmYcd99TeCd7w5dD8NyxezYS23Ax4iydTA2zoeD69PZnGBwrnHq/qkJHS4zVXSlizuL5nt/51BD/99/2s/fABDFH8HyluTHGe962hje9bmXNgotrONq5bygTxK8TQVVJJRxWdjXSlDrz2lNVvH1P4e7eCYV8IH58D2lbRmzbtVhhoOiC63P0ZJrBsdyU89feHGdlVyPx8Pz5wycovPgYOnoyDEavYDvY6y7CWb8NiTio5gw7C3myD3yP3BM/Dvo9ioDr4qzfSuoVt2EvO7tg33PBHxkg99D38A7sAtvB931UYWTVJQxtug7XTtDZEmdVeH37Y0MU9j2JP9x3+tkgFs6q83DWXTivXsVaBuVu6bhAr3z15yKXv+e/r66roNxGLE5jPsXiJOr7TOzZi5fOkOzpJtHTPa/bNxgWC1rIo5kxEEEaWpDZdOpfwni+ks0HI3KTcRu73ke1lOFEf5aTg3kaUjbr1zTUTQYa1eAY+6rEbIt4LMIAlTAVHW4BSTYiDaX7FXq+kgvPX6LM+dNsOhj1bDtIU9u8HRv1PLyTx8Bzsdq6sBoi9LtcYDSbDkZtWxbauoycHwjima5vzWeDY2NZSEMrYs3/h1ItxWJzxwW645bPRi5/75deVldi0Typq4BYFk3nbam1GQZDzZFYHImZrhfTsS2hMbk0Hsfdy5J0L6u//qciQioxu2MsIkhL5evVtoSGCOdPkg1Icv5zoYtt43TPX1q8+UCSDdhFda10dCSeXNr9lpW6bF6OytJ4OhkMBoPBYDDULfU5cCUqRiwaDAaDwWAwLDD1mJklKkYsGgwGg8FgMCwkuriDcpsBLtMQkX7gbDPedwEn59GcesfUd+lyLtUVTH2XOudSfc+lusLs6rtOVZctpDEzISLfI7A1KidVtW6ydhixOI+IyM56Gr200Jj6Ll3OpbqCqe9S51yq77lUVzj36lsrFk8QL4PBYDAYDAZD1TFi0WAwGAwGg8EwI0Yszi+fqrUBVcbUd+lyLtUVTH2XOudSfc+lusK5V9+aYPosGgwGg8FgMBhmxHgWDQaDwWAwGAwzYsSiwWAwGAwGg2FGjFg8C0TkV0Vkt4g8JyJ/XmL5GhH5oYjsCsv8etGyj4jIERF5MpxeV13rZ0+l+oZlbg3L7BGRDxXN7xCR74vIS+H/7dWzfHZEOTcicn7R8idFZFREfiPq+vVEVHtF5ICIPBOW2Vk0f9GcW4h8fpfMvTuL87vo791JROS3RERF5Ix4dkvp3p2kXH3D5Uvi3p2kwvldMvduXaKqZprFBLwS+AGQCP9eXqLMCmB7+LsZeBG4MPz7I8Bv1boe81xfG9gLbATiwFNF9f1z4EPh7w8BH6t1ncrUdVbnJqz3cYJAr4vx3EayFzgAdJWYv2jObdT6LrF7N0p9l8S9G9q4BriTIKnCGddriXov2ns3an2Xyr0bpb5L6d6tx8l4FmfPLwN/pqo5AFXtm15AVY+p6uPh7zFgF7CqqlbOHxXrC1wF7FHVfaqaB74A3BYuuw34XPj7c8CbFtbcqnIzsFdVzzbjz2JnyZ3bJXbvRmEp3bt/A/wvIMqozaVw786mvtNZbOcWKtT3HLx3q4oRi7PnPOB6EXlYRH4kIleWKywi64HLgYeLZn9QRJ4Wkc8sAvd/lPquAg4X/d3L6Zu0W1WPQXAzA8sX1Nq5M5tz8w7gv+awfj0QxV4F7hKRx0Tk/UXzF9u5hVmcnyVw70Jle5fEvSsibwSOqOpTEVdZ1PfuLOq7JO7d2Z7fJXLv1hVGLJZARH4gIs+WmG4DHKAdeBnw28AXRURm2E4TcAfwG6o6Gs7+J2ATcBlwDPirBa5OReahvqXqX5cxmSrUNfK5EZE48EbgS0WzF9u5jWrvtaq6HXgt8D9F5IaqGH8WzOP5XQr3bhR7l8q9+7vA/464naVw70at71K5d2dzfhfFvbvoqHU7+GKbgO8BNxb9vRdYVqJcjKB/xW+W2dZ64Nla12mu9QWuAe4s+vvDwIfD37uBFeHvFcDuWtcpYr3LnhuCZpy7FvO5PRt7Ker7s1jPbaX6LpV7N4q9S+HeBS4G+gj65x0AXOAQ0DND+UV97862vkXrLcp7dzb1XYr3br1MxrM4e74G3AQgIucRdAo/WVwg9Lx9Gtilqn89bdmKoj/fDDy7kMbOA1+jQn2BR4EtIrIh/Gp/B/CNcNk3gPeGv98LfH2hDT5bZnlu3sm0ZqzFdm6j2CsijSLSPPkbeHVRuUVzbiFyfZfMvRvR3kV/76rqM6q6XFXXq+p6gqb07ap6fIZVFvW9G7W+S+XenUV9l8y9W5fUWq0utolALH2e4GJ7HLgpnL8S+E74+zqCppyngSfD6XXhsn8HngmXfYPw665epyj1Df9+HcHos73A7xbN7wTuBl4K/++odZ3K1LXkuSlR1wZgAGiNsn69TlHqSzBK9qlwem6xnttZ1Hcp3btRr+dFf+9Oq/cBwtGyS/XejVLfpXTvRqzvkrl363Ey6f4MBoPBYDAYDDNimqENBoPBYDAYDDNixKLBYDAYDAaDYUaMWDQYDAaDwWAwzIgRiwaDwWAwGAyGGTFi0WAwGAwGg8EwI0YsGgyGBUNExudpO58VkbfOx7bK7GOliHx5IfdRYp/rReRd1dynwWAwzBYjFg0GwzmDiDgzLVPVo6o674K03D4JskkYsWgwGOoaIxYNBsOCIwF/EeZ6fUZE3h7Ot0TkH0XkORH5loh8p5IHUUSuEJEfichjInLnZHYGEflFEXlURJ4SkTtEpCGc/1kR+WsR+SHwsfDvvxeRB0Rk3+T+Qi/fs+HvnxWRr4jI90TkJRH586L9/7yIvCgi94rIP4vIJ0rY+BER+ZSI3AX8W7jtH4vI4+H08rDonwHXi8iTIvL/iIgdHqdHReRpEfmluR99g8FgmBvlvngNBoNhvngLcBlwKdAFPCoi9wHXEnjXLgaWA7uAz8y0ERGJAR8HblPV/lB0/jHwc8BXVPWfw3L/B/j5sCzAecAtquqJyGcJ8uFeB2wlyOhQqvn5MuByIAfsFpGPAx7w+8B2YAy4hyBDRimuAK5T1UwoXF+lqlkR2UKQbm4H8CGCfL1vCO1+PzCiqleKSAL4iYjcpar7ZzomBoPBsNAYsWgwGKrBdcB/qaoHnBCRHwFXhvO/pKo+cDz0/pXjfOAi4PtBKlhs4Fi47KJQJLYBTcCdRet9Kdz3JF8L9/m8iHTPsK+7VXUEQESeB9YRCN0fqepgOP9LBEK0FN9Q1Uz4OwZ8QkQuIxCcM63zauCSIu9qK7AFMGLRYDDUDCMWDQZDNZBZzi+3nedU9ZoSyz4LvElVnxKRnwVuLFo2Ma1sLoINxWU8guflbOwt3uf/A5wg8KxaQHaGdQT4VVW9c4blBoPBUHVMn0WDwVAN7gPeHvbJWwbcADwC3A/cHvZd7GaqwCvFbmCZiFwDQbO0iGwLlzUDx8Km6p9eiEqENr9CRNrDgSu3R1yvFTgWejPfTeARhaApu7mo3J3AL4d1QETOE5HG+THdYDAYzg7jWTQYDNXgq8A1BP37FPhfqnpcRO4AbgaeBV4EHgZGZtqIqubDJtq/F5FWgmfY3wLPEfQlfBg4CDzDVBE2L6jqERH5k3A/R4Hny9lbxD8Cd4jI24Afctrr+DTgishTBJ7RvyPow/m4BO3s/cCb5rEKBoPBMGtEVWttg8FgOIcRkSZVHReRTgLP3bWqerzWds1Ekb0OgQj+jKp+tdZ2GQwGw0JhPIsGg6HWfEtE2oA48NF6FoohHxGRW4AkcBfwtdqaYzAYDAuLEYsGg6GmqOqNc1lfRG4EPq+qq8O/nwP+p6reW6nsWezrk8ARVb3s7Kw1GAyGxYcZ4GIwLBJE5F0islNExkXkmIh8V0SuC5d9REQ+X1RWRWQiLDsuIsNFy24Ml/+vadtfH86fXOeAiHyogk0flSDItisiH5nB5oOhLV8TkY65HodKqOq2UkJxtoSBue+ftu0PqOpH57ptg8FgWEwYsWgwLAJE5DcJBnL8CdANrCUYNHFbmdUuVdWmcGormv9eYDD8vxRtqtoEvBX4fRF5VZl97AH+F/DtEjZvA/4vwejfbiAd2myoM6R8SkKDwXCOY8SiwVDnhKN+/4igafUrqjqhqgVV/aaq/vYst9VAIAL/J7BFRHbMVFZVdxKMMr6sTJnPqep3CULATOengW+q6n2qOk4wWvktInLGKGUR+ZCIfHnavL8Tkb8Pf79PRHaJyJgEKfpmTIMXekRvCX+nJEjvNxQG1r6yxH73htt9XkTeHM6/APgkcE2xZzbc1v8pWv8XRWSPiAyKyDdEZGXRMhWRD0iQLnBIRP4hHOFcyuarRORBERkOvcafEJF40fJtIvL9cD8nROR3wvm2iPxOUR0eE5E1RV5ip2gb94rIL4S/f1ZEfiIifyMigwT9MDeJyD0iMiAiJ0XkP8K+pJPrr5EgBWJ/WOYTIpIIbbq4qNxyEclIECLJYDAsAYxYNBjqn2sIBlPMx4jb24Fx4EsEMf3eM1NBEXkZQbaUPWe5r20UpcJT1b1AntLZS/4LeJ2ItIT7toH/AfxnuLwPeAPQArwP+BsR2R7Bhj8ANoXTazjTm7oXuJ4gDuIfAp8XkRWqugv4APBgCc8soY03AX8a2rmCIGTPF6YVewOBQL00LPeaGez0CAJ3dxGc75uBXwn30wz8APgesBLYDNwdrvebwDuB1xEcm58j8OBG4WpgH0GaxT8mCAj+p+E+LgDWAB8JbbCBb4V1XA+sAr6gqrmwzj9TtN13Aj9Q1f6IdhgMhjrHiEWDof7pBE6qqjvL9R4PPVXDkx46ArH032Hqu/8E3ilhAOgiTopIBniQoNn4a2dpdxNnxiAcoUT8Q1U9CDzO6ZiCNwFpVX0oXP5tVd2rAT8iGIV8fQQb/gfwx6o6qKqHgb8vXqiqX1LVo6rqq+p/Ay8BV0Ws308ThM15PBRNHybwRK4vKvNnqjqsqocI4iteVmpDqvqYqj6kqq6qHiBovn9FuPgNwHFV/StVzarqmKo+HC77BeD3VHV3eGyeUtWBiPYfVdWPh/vMqOoeVf2+quZCoffXRTZcRSAifzv0bGdVdbI/5+eAd4nI5Pvk3cC/R7TBYDAsAoxYNBjqnwGg6yz6lW1X1bZw+jURWQO8EviPcPnXCTyWr5+2XheB0Pstgowqk9lEnisa/BJFqI0TeLuKaaF0kzWE4jX8/S5OexURkdeKyENhk+cwgSetK4INK4HDRX8fLF4oIu8RkScnRTWBJzXKdie3fWp7YVP7AIHXbZLiMEBpguN6BhJkavmWiBwXkVGCvqmTdqwh8ICWotyyShQfl8nm4y+IyJHQhs9Ps+FgqQ+WULhOEGS22Urg+fzGWdpkMBjqECMWDYb650GCXMJvmuN23k1wz39TRI4TNEEmKdEUraqeqv5VuN9fCedtKxow8+MI+3uOoPkVABHZCCQIMrWU4kvAjSKyGngzoVgUkQRwB/CXQHfYJPwdouVpPkYgdCZZW2TPOuCfgQ8CneF2ny3abqWMBUeBdUXbayTwAh+JYNd0/gl4Adiiqi3A7xTZcZigGb0UMy2bzBDTUDSvZ1qZ6fX703DeJaENPzPNhrVlPlg+F5Z/N/BlVZ0p97XBYFiEGLFoMNQ5qjoC/G/gH0TkTSLSIEFO5NeKyJ/PYlPvIeiXd1nRdDvwegmyp5Tiz4D/JSLJUgtDO5IEzxJHRJJh/zYIPJg/JSLXh0Lqj4CvqGpJz2LY9Hkv8K/A/rDfIATBuhMEqe9cEXkt8OqIdf4i8GEJcjmvBn61aFkjgTjqD+vyPgLP4iQngNXFA02m8Z/A+0TkslDQ/gnwcNiMPFuagVFgPPTO/XLRsm8BPSLyG+GAkmYRuTpc9i/AR0VkiwRcIiKd4bE8AvxMOAjm55hZcBbbMA4Mi8gqoHjw1CMEwvvPRKQxPM/XFi3/dwKB/zPAv51F/Q0GQx1jxKLBsAhQ1b8mGMzwewTi5jCBR+xrUdYPB6usB/5BVY8XTd8gGMDyzhlW/TYwBPziDMv/GciE6/9u+Pvdoc3PEQwS+Q+CASrNhF7KMvwncAtFTdChuPw1AuE3RNBEHbWZ8w8Jmor3E/RzPNWXTlWfB/6KwHN7ArgY+EnRuvcQeEePi8jJ6RtW1bsJRnjfQSCkNgHviGjXdH6LoF5jBMf0v4v2Mwa8Cvgpgmbtlwi6E0DQr/CLYd1GgU8DqXDZLxIIvgGCwUYPVLDhD4HtBP1Kvw18pcgGL9z/ZuAQ0Au8vWh5L0GfUwWieJ0NBsMiwuSGNhgMBsOcEZHPEAya+b1a22IwGOYXE4jVYDAYDHMiHAH+FuDyGptiMBgWANMMbTAYDIazRkQ+SjAw6C9UdX+t7TEYDPOPaYY2GAwGg8FgMMyI8SwaDAaDwWAwGGbE9FmcRldXl65fv77WZhgMBoPBYJhHHnvssZOqWpOc5VdYjTqqXuTye8jdqaq3LqBJs8KIxWmsX7+enTt31toMg8FgMBgM84iIHKxcamEYVY+/ddZVLhjyBvfFqJmkqoIRiwaDwWAwGAwLiYDEoiSdCjkjsWZtMWLRYDAYDAaDYQERESxnFmKxzjBi0WAwGAwGg2EhscBO2ZXLTVIyKWrtMGJxgVFV8nueI/f0I/jZCZyuFaSufAV2R0362BoMNaPgKSeGCoxlfESE9iabZS02lrV4v7bnA/VcCgNH8cYGAbCbO4h1rkTsxfd4Hsso+/uViSzEHVjbJXQ1B16VWqKqpDM5xsbTeL5PPObQ2tJEPDbzMVZV/KP7cfc+jeYySGsnsa07sFo6ppRzPeVgP5wYCXIdLm+B9csgNs2LlMkrRwc9JnKKY0F3m01Hk8z52KgqubFhcuMjqO/jJBtoaOvEcmJz2u6cbCrkcI/vxx8bRLEYivVwzFqJik1nk7C6U3Ds0/XW7ATuwefRsUGwHeyejVg96xBZQgFbZtsMXWecE3EWReRW4O8AG/gXVf2zmcru2LFD52uAi9t3lKHP/AU6MY7ms8FM2waxSGy7gtb/8X6khje0wVANVJXekwUO9hcA8MNHjh2+B7auTtDZvPiE0XyQ7+8ld+i54A8/HClpBd6HxLptxLtW18iy2eF6ysN7lOPDoBqIJgjOcSoON2wVGpO1eVHm8wV6j/Xjej7F7zsRaGpI0bO884wPFn/kJNnvfA5Nj4ObD2ZaNohgrzufxCvfhjgx9vcpj+4JFrt+8P/kdb19I2zpEXxfeb7XpW/EP+PYxGy4bEOMpuTZiaJ8eozh3r3gK6r+6YoBDR3LaVq2qqpCXVUpHN6Fe/BZQE5d0y4OCjybuIbheA8AF68V1nSC+8z9eAen3QN2DGyH+MvegNXePW/2ichjqrpj3jY4C85PNOg/rdgcufzNB5+pma2lWEKyvTQiYgP/ALwWuBB4p4hcuND79YYHGPzHP8QfHjgtFAE8D9wCuecfZ/jzH+dcEOuGc5vegUAo+npaKAJ4fjDtOpxjaDx6SImlQn7gCLmDzwYvSL+o/uHfuYPPkh84UjsDI6Kq3L87EIp+kRiC4PyOZ+HuZ5VsvvrPuoLrcvBIHwXXO+NZqwrj6QxHjp+cssyfGCXz1f+Ljg2dFooQnBfPxTu4m+ydn+dQv88jewKROCkU4fR1/fg+2Hvc55lDgVAsdWyyBdi5p0DmLI5NITPB0KE9qOedFoqTFVMlPdjPeF91r59AKD4Hvj/lmnZwieFySe4BWgp9eD48c0gZfuRHeIeeP/Me8AqQz5D/ydfwRweqWocFI/QsRp3qjSUvFoGrgD2quk9V88AXgNsWeqfj378DzWWDG7cUhTz5vc9TOPjSQptiMNQM11MO9hWmiMTp+AovHc2dUx9O6vvkDj4HxS/56fg+uYPPTxUCdciJERgap+w5znvwwtHqn9+BwVF8f+bjpwqZbI5MNndqXuHxeyFf5tntufjHD7H3qf14ZU6N58NTB5WBMb/ssXF92Ht89kNfR48fLn/9qE96qA+vkJ+5zDyibj4UijN/+Nl4bM09DkA8P0L8+Avglam7V6Dw7P3zbWptELAciTzVG+eCWFwFHC76uzect2BoPkv2yYeCr6tyFPKkf/y9hTTFYKgpfcOFSOXyrjKWqW9RNJ+4I30zi5Fi1Mcd7l94g+bA7qM6xbNWClXY3wd+OdU0z/i+z+h4umI5VWVwOBhNoG4B98XHy4swAmG0ru8nFbediHllheIkfSM+rhf92Lj5HG6uct0AMkPVuX7c4wcilUtommZviDXjzyJUrrMOHEUz43O0rvYIILZEnuqNc0EsljrqU65QEXm/iOwUkZ39/XO/sbzhQcSOMOpJFffYoTnvz2CoV8azGullCZDOnTti0c+Ml/XAnC7o4WfqbFjkNEYz0copkKti7DjXi961IZcPPmo0PUbpV8ZUBGjOHq9YzpZoF78IZAvRxaKXy0Tri6hKIRtNVM4Vf3ww2jUNNPqjtBb6sIhwz1s2/vjw3IyrBwQsWyJP9ca5IBZ7gTVFf68GjhYXUNVPqeoOVd2xbNk8jFK27ehNata5cAoM5yqRBzrLqX755wYiRBElIHU/IjTqeVONVuP5Qmaxt1NlLSuaxxfQeX59zurYzOZmqdaNFfk6FVQEn+hhZGRJvCcFsaJP9ca5MATxUWCLiGwAjgDvAN61kDu025chTgzNB/1gVBX1gpFwYgUXvoiAbZPYeulCmmIw1JT2JpsTI27Qt0uVpsIgKXcEEMbiXWSd5qCgQmvDLGKQLXKc5k7ylnXKE5O3k+SdBgDibpq4Fw6Ksyzs5o6ZNlMXdLfCgbBBRlDaYuPErQKeWgwXmnE1HN0dC6Zq4ThBWCYvbN71VSiogypYosTEPaWjGhuSgf2NLRBPQCbwNKZpYL+zmTwJWnSE9d4ebHxULPqbzzu1r4Tj0hAL1skUHLJuUNGCZxGz/bApS2mWcWKSx1eLcW3GDV/BIpBKRBcIsVTjFIfE4LjFS8fiuL7Q3eqyqbsQfo9YJJraZn/wzgK7YwVe/6FpfRAn61Q0Ch2fYauLRHIdrYUTOOqiwFBiFZlYK5Z6tGd7SXoT4ao+0lpXme/ODgGxF6/oXfJiUVVdEfkgcCdB6JzPqOpzC7lPsSwarnsN43d/HW8ig5bou2jFbGwnRsPLX7WQphgMNaWj2cYSaMj1sWH0MWJ+rui9oWRirexrvZJESyvJ+OJ9kM4Wq7EViSfJFXwGG9fg2QlOHxjB9nJ0TBwmEbOwq/SyP1vOWyEcHvBZHhtgdepk8FJEUcDiGAP5Fg5mVnD+CquqYVxEhPbWZk4OjjDupijo1NedAEkrS9Iu0N7WFK5jEbvkOiZ2/pi7nFt5yd6KhY9iYeEhKC/P38t2fYy+VdeQtFxWtYySsL0pG857NkdGmgEHEZ82Buix+8I+ekrgyzzKqDZzzF/Fms441iyOjWU7JJrbOHFshP+4v4UD/XEs0VAIQyKmvPXqMS5eXyDV2j7nYxkFu3PVae/iGV7GoG6+KiN2F56T5Gjj+WwZe5gTDZt4qf3l+OKgp8Sl0JY7xtahH9Gwah3ixKtSh4VEoC6bl6Oy5MUigKp+B/hONfeZuvomRr795ZJCEcAveMQ3b8LuWF5NswyGqiIibGsexD7yADZn9mdqLAxx4cA9OOteB6Sqb2CNEBFYcwn9J8fREs13rpOiv2UTq7uaa2Dd7GhtEC7tPIHjDpXso9cZH6U5lmPDsg1Vt62lpYn9fR6untnsr0DGT5JMpojHilyeF7yM/3zuPIb8ZjyJFV21QZkfx28ms+xiLr+wlaMnhpASXSiSjseGjmG6u9rwx/qxJvqwphyb4HcLozQ4WXo6L5h13dzUSv7qWw7pnOBPq1/OhX//cSvvbUnSbVXHYy+WhbNmazAiugSqiojFgcQFiIA6cQ5ueCOH8x341plSZDC5kp3db+Ha85MsiWjEItixxftBvHgtr3PGf/jtiv0Ws3t2Ueg7WraMwbCYUd8nvucnJYUiBK83R11kz4PVNazGqCrHR3IlheKpMmIHZeo8pFA+myHplxaKEDT5Ju0cE6ODVbYMjg/l8bCYuUegMJyBTO709fnQixbD0oEnpSWKK3F2Dq3mwJEJLGvmLoGWwOjQAE5mulCcWiYuBbJDlQfLTOffvj1OOmeFQvFMCp7wb9/Nkc5WZ+CY+h5u7+4Zl4sIKrAxvyv8Gw66y0sKxaCATcFO8WLf0uieImJGQxumoZ7L+I/vArdC2BDPY/ze71bHKIOhBvj9FWLBhejYIH56tAoW1QeZbB63XJC+ENfzyWSrEyfvbBkbOllZ0KoyPjRQVeGrqpwYzFccr6IKxwaDY+z7ysMv+BVDAXk+PN9b2d8VL4xWHjCjSmbo5KziaY6Oezy5O1sx0oAA9z8+EXm7c8E7eYRKkXAsoNkfIulHs0kRjg0phVmEFapnxLIiT/VG/Vm0BPAGT5YPNDqJ75Hb/czCG2Qw1Ah/6Hi0e0EEHanveILzSTqbjyScVLXuxWIuE+3F7/sefpRrYZ7IFRQ/ojgdSQcf9mMZKEQwURX6Ryv34oprtmKZYHuKl49+nvcfKZyRe7oUuQI8/VKuYrn5wBvuA7/ywVMsWrzoXmZLgpzjix7BjIY2TEV9P3K4gnrPzmAwzImo17dS982ttaLuj0pEA6v/+pv9kfODsSfRtj6PJyZ4XUTfoF+cZLpS2WoFQo/8Lpu9PUvj0VCf8ROjYjyLC4DT3hXt6hYhvjZ6YnGDYbEhrV1gR/kmVazm6ozarAcS8Vik0a+WCMl4fXfvjyeT0QqKYEW6FuaHuBP99daYDPrFtaSiakWlvbFyAOqCRBvFq6rYsegjftf0xCJlfIk5sGVtIvJ254LV3AkRBtMIMGG1RN6ur9CUXLwiaxJZ5J5FIxYXAInHabjqFVAhi4vEYjTf9IYqWWUwVB+7e30kR4Ikm4KXzTlCU0MiUhgZsYTGhuq87M+WpvauCIHDhabWjqqGzrEsYXlrvKL4swRWdATH2LaF7ZulYq6EmCNsXV252Thrt0QKVp1q7URmMWq5q81h89po4vKmqxsjb3cuOMvXRiqXsRqZsFsjb7erWUjE6k88nQ3z2WdRRG4Vkd0iskdEPlRi+W0i8rSIPBlmqLuuaFmbiHxZRF4QkV0ick2l/RmxuEC0vPatWKnGGTO0SCxO8uIria/dWGXLDIbqIXYM57wd5T0Olk3sgorPqiWFiLBieVvZ3ioisGJZW1UF1tmQSDWSaGgs2/XGdmyaO6ofWHlVVwKnTNOfJdDW5NCUPH19XneRTUN85urEbNi8QrhkU0PF89fT00myua2sYBTbprFrRaWqnMHPvrGdZHxmAxIx4bYbW2htqlLoHCdGbMMlZe91D5sXE5cBwbFf3lo+y5NjwdZVS2M09Hz2WRQRG/gH4LXAhcA7ReTCacXuBi5V1cuAnwP+pWjZ3wHfU9WtwKXArkrmG7G4QNgtbSz/7T/F6VmNxBOnnzyxODgxGq6+kY53f7C2RhoMVcBZdR7OeVcGzdHFzZC2A7EEsctuxmo79+KNNjemWLm8A8uSKU3SlgiWJazq7qC5sf5jT4oInSvX0NDcyvSggyJCLJFk+dpNVW2CniTmWFy0vomGhDVFlEya2dUaY8vKhimCvDEp/OJrHbrbAmE4ucSxwbbg4g3C7dfbtDYlWNfTim3JlG1Pnr813S20NSdpWbmeVFvnGccGsbDjSTrXXzCrJuhJ1vTE+P1fWkZnqz1FNCbiEI8Jb7q5mTffXN04nbGVm4ltDAVjkWh0cchLgmdS15COdeBYcNl6m+0bHDZ2B+emOLmJbUEqDi87z6FxCTRBB0TPCx2hb+NVwB5V3aeqeeALwG3FBVR1XE93BG8kbOMRkRbgBuDTYbm8qg5XtN50Kp/Kjh07dOfOnfO6zfyhvWSeehg/k8bp6qHhyuuxm6O74Q2GpYB6Ln7fQfzRkyA2VkcPVufKus99vNCoKmMTGdLhqOeGZILmxmTdexRL4bkFJkaH8QoFLNsm1dxCPFEfgnc86zE4lsf1IBkTulrjFfs1HhtQdh32yOSgvVm4ZINFU2pacG9VRsdzTIQpAhtSMVqaEmf0SfXdApmRQbx8DrFtks1txFJzbyJWVZ7bm+Op3VkKrrKmJ8bLL2sglajdfaWei3eyF39sCBVhNLaMflkOIrQ3WnS3Tf1AKnjK0UGf8axiW7C81aK9Ueb9HhCRx1R1x7xuNCIXtbfoF2+8MnL5bV+75yBwsmjWp1T1UwAi8lbgVlX9hfDvdwNXq+oUD5SIvBn4U2A58HpVfVBELgM+BTxP4FV8DPh1VS0b1sCMhq4C8bWbiK/dVGszDIaaIraDvWIT9gpzLxQjIrQ0NdDS1FBrU+aM7cRo6VhWazNK0pS0aUrOTriu6BRWdJZ/TYoIrc1JWpvLD/SxnBiNnd2z2n8URISLNie5aHPEgUZVQGwHp3s9dK8HYFk4zUTMFtYtWyLNzTMhYDmzquPJMsK2lIo+w/Onql8FvioiNwAfBW4h0H3bgV9V1YdF5O+ADwG/X86Yc/uT3mAwGAwGg2HBid5fMcJo6F5gTdHfq4EZ08Gp6n3AJhHpCtftVdWHw8VfJhCPZTGexSrgjQ/hDh5HvQJWohFn2WqsWH2PcDQY5hvf90mPj5LPZhERkqkGko1Ni7K5dT5R38M/cQB/6AQAVns3Vvf6WY2OrRe8Qp7syEn8Qh6xHZItHTjJ+vCYjmZ8+kY8XC/oD9fT5lQcZbuvN8cjz6SZyPh0dzhcd0UTbc1Tz4uqjzvcjzsxDAp2YyuxtuVnjGgtuD4Do3lyBR/LEtqbYjQm7Tlf/6qKNzqAO9oPvo+VaibWuQKxaxdySX2PwtAJvPRYkIPbaWWUFhChucGho9k5oxn6xLB3qhm6q9mmbQGaoWvNPIbEeRTYIiIbgCPAO4B3TdmXyGZgr6qqiGwH4sBA+PdhETlfVXcDNxM0SZfFiMUFxM+mye5+BD83AX4Yk0ss8od34SxfQ2L9xed8fy3DucHYyBDD/YEYmuwnPT4yhFgWXT2rSDZUJ7xHveEd30/h6R8FcVm9oM+bd3g3yI+JXXIjds/62hoYEVWfsaMHyI0OTM4AIDNwHCeRomXNlrMaxDEfZPPKUwfzpHN6Kj2eJbD3hMeKNpvzVzln9C88OezyF5/p42i/S8FVVIOYhV/43jDXX9HEz7+lA8cWCiP9pA88F9R38hk/cJTMoV2k1l5AvKMHVeVQX4b+kaBP6uQwgb6hHPGYxXmrGknEz+7DwJsYIbPnMdQtnN6/ZZM79DzxlZuJr9hUdcGV6z9M9sgeQMEPAnULR2jBoje+hT6nmX0Cm1emaG9y2Nfncqg/sH3y/BwZ9IjZcOn6OE3JpfGODOIszk9dVNUVkQ8CdwI28BlVfU5EPhAu/yRwO/AeESkAGeDtRQNefhX4DxGJA/uA91W03wxwmcp8DXDx81nST98b5ocucYwtG7u9h9SWK+a8L4OhnpkUijM9a0SE5avWkkjVhweqWngnDlB44u7TL/npWDaxy2/B7l5XXcNmiaoyevgl8hOjM2TxECzHoX3TxVUfEZ13lYdfypGfIQudJdDVbHHR2tgpUTU67vHbf3WU0Ql/UutMIR4TLt+a5IO3CZn9z8ycuUQsUuu30ZttYmisMGMeZ8cWtq1vnlUQcQAvPUZ61wNlr594z0YSq7bMartzIdd/mGzvSzMeEx+Lg4mtZKwmLIGGVJyTY8x4bGwLrtocp2GeBuvUcoDLxZ2t+rXXX1e5YMjmf/9OzWwtxdKQ7HVIvvfFmYUigO/hDR3HGx+uplkGQ1Xxfb+sUIRAbAz0HauiVbVH1afwzH0zv+gBfI/CM/fVfUrQQnqsjFAEUHzPJX2y+ud4f59bNtezr3ByzGe0KPfw1+4ZYTxdWigC5AvKk7uzPPfY3vIp7tRn+PCBskIRwPWUoyej5ZAuJnvouYrXT/7YXvxCdXJDq+eWFYoAFj4r8vsBcH3oG9Wyx8bz4aVj1csnvqDIvPZZrDpGLC4A6nu4Jw9TMXVFeDMbDEuV9NhopHJeoUA+O/sX5mLF7+8Fr3K6ODw3KFvHZAaOVc4LrEp2qK+q+b99Xzk25FVMIOQrHOoPBInrKnc/PI5b4dTk88pdz1aOYThodwV5nCswMJrHm0UOZz+XwY/oaCj0H4683bmQHzwWKVdiXHMk/DSuH63pfXDcJ+8ujRbQ+czgUm3qz6IlgOYykcv6E8MLZ4jBUGPy2UxkgZDPnTtiUUcHwIvgMfHcoGwdU8imI5VTVXy3sMDWnCZbiC4wRjOB2B0ccYlyuSpwYKDyIMWs1UAkBSWQL0T3IPuZsRmzg01BfbzxocjbnQvexCgzumOLUCDpp/FViHJsRGAiW9/e9Sgs9tzQZoCLwWBYOGbzzKu/5+PCIRLUt5IwEcqm0asHolQjQKtaFREiCb/JshDkk57tOmXLRNWrZ+M4i7xOlQ76LE7urKtb5/dAVOpRBEbFeBYXAEk0REoeD4LdWp8BbA2G+SCZaow8GjNRJyFWqoHV3l0+X/apgjZWe8/CGzQHYg0tkcpZtlPVcC6JmERyvgG0h/mTO1ptEmXyLU9iCVzQU7kFqcEfI4o0EoFEPPrr2Gpsrdz0D2DZOK3VycntNHdEuqYFJWM1Y4lPlGOjCs1LIeWfCJZjR57qDSMWFwCxLGLd6ysLRhHiPRurYpPBUAtSTc2RvAKxRIJYvDahVWqBtPdAPEI2kXgKaZ//rB/zSaqzJ9KzLtnRU9UwLpYIazptKjlzLIG1ncHL2bKE117XTLxCm5vjCK+6uLJYbNehinUWgWWtZ6YHLGtzLBHN0aBKrGtV5O3OhViE/O4KZKwmClaCmFVZ7ApB6j+ncq7kRYCYPouGM4mv2lLew2jZxFZuwko1Vdcwg6GKiAhdPavKvjDFsujsXllFq2qPiBC//GYoF0rGdohffnPdByaOpRpJti2b+VkngpNI0dBRfdG7bplDKi4zfq9YAmu6bBqLYvm94RUtdHfFiM1wahJx4dZrm9myfWt5T5pl0bbhfFZ0JGYUrALEHYuVXbNP1Zdctw2cODM2M1sWifUXVc2bK5ZFw4aLZrwOFPCxORrbAARhcdYvKy/mYw5sWVG74OLzjkj0qc4wfRYXCLEdGi66nswLD+G+8CScPB6MfkykkFXriF96PYmVJkeuYemTamxi2YrVjBx6icRQL7FCGgUKyVYKnWtoX7ORWPzcy2hktS0nfvUb6N35BI8OraO3EHiKVsf6ubL9IKt3bMdqWxzdVJp61oId45mX0jx1vJPxvEPc9tnaNcjlG5W2tetq4i2xLWHHpji7D6dh+Cidfj8WHnlJcNJeSUf3ctYsm/oaTMQtPvrBHj53x1Eah17i5d3HSNgug7kU9x5bx+bt5/HaV7QiIjSddwXjT/yY/DM70f4TKGB1LiN+8XYat9+I09jKqiZwLBg+dpS27BFifhbFZiS+DG1fw7pVTdhn0ZfNiidpvPBaTr60ixcG2+jNL8fHotUe54LGXtauX0m8s7pdGGKty0htvISxI/tI2ylcK2gtiBXSOIUcQ8kVOCI4lrJ5VRNNKZuGRIG9x/PYuFiigOD6FqlkjG1rEsSd+hNOZ8PkAJfFihGLC4h76CXce74J+OCGIx9zWTSTpnDiKLG3/SpWY+XwCwbDYkZ9H2vvTloHjoJ/egSwM95PKj0AlgsbL62hhbVBVfnO7g6e6r8Jz1dUgxfJSL6ZF/o3cdlu4XVXad17FgFG0/DpH3eRzjIlAPYjR1fx6DF4V0LYuKI2tunEIKuHnwq7xwVNnwnN0exPYPUfRNt3INPSr8bHjvKzXXehnYqEsQy7klnO6xhD2Ae5N6KJFBM/+DrZR+4Nnu9hH0J/YoLs0V443kfL7T8PXoGm3odozGWmxEVcnjsMJ3qheTucZb/UXSdSPHh8ezDSPLx+JvwUfWPLWLZPeG0bxKrY/U1VGci4ZFLLpkRByFqtkABRIYaLiMvoGCRjzQyNZknZXlG8RSVhe/iux1haSLQunQ/JemxejsritbzO8U4cJvOtfwU3f1ooTlLI4Q+dJP2lj6PlgqoaDEuAwgsP4g8cmSIUA4IUad7BZ3F7d9fEtlryw6d8nt6nuB6nhCIEv10Pntqn3Pt0/YcMcT3l098tMDLBGZlSCl4w7z/ucekfrn6sPC89RnrvU0FIl+kDQnwPP5dh4sWdUwKf+6MDFB6/Czz3lFA8vUEXzYyRf+gbTNzzdTKP3AuF/NRtqw+FPNmnHmL8e18kvetBNDNxZgBt9cH3yO557KySM+zvgwdfDAJX+1r8QSG4ntA3At9/atabnRN9/f1kMmeGy5psWXXExSIITzQ0mub5g6Okc94ZgbmVYGDLgRMZRiaqF25pQTFBuQ2lyP7kO2EGlxlQH39sBHdfxfzdBsOiRXNp/BMHKmaacPc9WfeZSuaTfEF5cJdPocxhKXjw4PM++VnEC6wFzx3wSefKh6lxPbj36epn4sgeq5BlBfALedzh/lN/uy89Vj4GpiqaS5N/+ieBUJyJQp7cnqfRXJqyo359n3zvC2VtLGECD+0OhOJMeD4cHYTBsVlt+qwpuC4TExNl46qKQEyCzGaeCrkw7/ZMqMLh/uhxi+sdM8DFMAXNpvEOv1S5YCFH/on7Ft4gg6FGuMf2Eimqmu/jDx5fcHvqhecPacVRuhC8XHcdrm+x+OAuf8bcy5Oowq6DSqGKmTjUc3GjBDT3PXJhlhN18/j9hyqv47nEV1RuOnY2bCr/oTS5udEBdBZp+QbGIF1Gp07i+/B8lRIAjY2NRQ7Ab+Hj+tF6weXyPtn80miBM55FwxT8iVGwo3UU8UcHF9gag6F2aDpaVgfUR7MTC29QnTAyoRUFFgRNuCMT9S0Wo9onAunqpCkGCHIiR4p3C34+yB6kuUzkdawIoZ6sVITwSABizSqH83g22oBZBUaiJdiZM4V8BPV6CkWJnsFlNtlt6hWTwcVwBhJPRHtBwhkdqw2GpYQ4Ea9vEaRcGJklRiIWhA4p14wIQZlKMf9qTdyBKDLf1+rWRWwncgoXCUPgiBOLvI5GSW0XJaUjAP4pG6IQc4icBiVRpWNuRXSQBMwu24tVh+Jp9ki0FI11yuK1vI6RpjaksbVyQSdG7IIdC2+QwVAj7O515WMJTqKK1XnuxFo8b7UVLV2cwPmr6/sxffEGCyeCicvbIJWoYlDuWAIrHiF+oVjEOoImZUk0IA0RIlSIRaH/ZMVibu/hSJ5KcRJBXN6IdEd4vUAwEnpzlUahNzVGz9bkY+GIR6TsNgiNyfrLaDJrJBDUUad6o76fQosUESFx9avCgKllCxK76OrqGGUw1ABp6UISjZT1JIiNtWztOeVl72gWVndJ2X6LlsDqLqG9ub69Kledb1cUvjEHbrik+i7SRM+Gyt4cgXjn6SwnzubtlT9wLAtNtpbvbmRZiBshwLJlE1u5ZVYhkhwbLlwdeJ4rlVtbnWx/JJNJ7AoiRxU8bECwxavoXxSB7vb4oggfVRkzGtpQgti2q3DOu3QGwSjgxGj4qfdhpRqrbpvBUC1EhNhlN0EsXvqladlIQzOxrS+rvnE15q3X2zQ3lH7h2xY0NwRl6p2WRuH2621mSmcbc+DyzRYXrq3+CzDW0UOsvWdmwSgWDRsuwYqdfk5bKzZhr9w8s2C0HGKX30Lr//gl7NZOcEqUsx2s5lZa3/UrJM+7cuZML5aN3d5DbPnaWdYMrtwCy1so6dUNMsPA66+oXsuniLByxQqsGXaoCorgaiywL2axZXXjjB9MlkBzymFl5+yz29QlQnAyok51hkQdvXSusGPHDt25c+e8bEtVKTz/KLmH70LHhoMHhu/hrNtK4uW3Yi9fPS/7MRjqHc2lcfc/jXdsbyAaFbBt7NVbcdZtO6f6KxaTySn3P+ux8yU91SBnCVyxRbhum13VZtu50tvvc8+THvuP66n+mB3NcOOlNhett2rmHVJVCoPHyR3fHwxkEQH1cZo7Sa7ciN3QUnId/+ge3D2Po5nxoClZPazOVTjn7cAK8zL7mTQT936TzEN3o74feMpESF31Shpf+VOnki546VHyvbvxhvvC/SsSTxJftQWna81ZHxvPh2cPwdMHIOcG146vsKkbrtgELdFbtucN13UZHBpifHwcCI5l4FF08IghIrS3NLCsvQnbtsjmPY6czDI0XkAIHg2OLaxoT7C8PTGv142IPKaqNen7ddmqZXrPL78lcvnO3/9UzWwthRGL05hPsTiJqqLjI2ghh9XYgiQijpAzGJYY6nlobiIY0JJsRCKOPF3qeJ6eGrXa2gC2vXhE4nQyOWUiC/EYtDTUVz38fBb1PSwnHgxmiYBmJ1C3gCRSM3aVUM/FGw7C9NitnUgpbyOgbiEIkWPZSDw5b0JINRgh7fnQmGDGvNbVxPd9XC9oarZsGy8czeU4NlaJenu+UnD9IG+6IwvycVFLsXj5quV6z6/cHrl8x+99sq7EYh1cUksfEUGa22pthsFQc8S2kRKenHMd2xY6lkjmz1RCSNVp99NIA16mIcnGyn3rbAens7vytpxYZJE6G0Sguc58EJZlES9qTrUrNK3almDH67/bxVkjECm4ap1ixKLBYDAYDAbDAlOPmVmiYsSiwWAwGAwGwwJTj6Oco2LEosFgMBgMBsNCEqRwqbUVZ01FsSgi1wIfAdaF5QVQVd24sKYZDAaDwWAwLA0Ws2cxisz9NPDXwHXAlcCO8H+DwWAwGAwGQwVEJBjgF3GKsL1bRWS3iOwRkQ+VWH6biDwtIk+KyE4RuW7acltEnhCRb0WxP0oz9IiqfjfKxgwGg8FgMBgMJZinAS4iYgP/ALwK6AUeFZFvqOrzRcXuBr6hqioilwBfBLYWLf91YBcQKTzFjJaLyHYR2Q78UET+QkSumZwXzl8QROQjInIkVMNPisjripZ9OFTRu0XkNUXzrxCRZ8Jlfy9hgCYRSYjIf4fzHxaR9Qtlt8FgMBgMBsNMzGO6v6uAPaq6T1XzwBeA24oLqOq4ng6k3UhRIm4RWQ28HviXqLaX8yz+1bS/i4NDKnBT1J2cBX+jqn9ZPENELgTeAWwDVgI/EJHzVNUD/gl4P/AQ8B3gVuC7wM8DQ6q6WUTeAXwMePsC2m0wGAwGg8EwldkPcOkSkeIMIZ9S1U+Fv1cBh4uW9QJXn7lLeTPwp8ByAnE4yd8C/wuIHN11RrGoqq8Md7ZRVfdNM6AWg1tuA76gqjlgv4jsAa4SkQNAi6o+GNr2b8CbCMTibQSDcwC+DHxCRERN2hqDwWAwGAzVZHYDXE6WyeBSakNn6BpV/SrwVRG5AfgocIuIvAHoU9XHROTGqMZEkblfLjHvS1F3cJZ8MOyY+RkRaQ/nlVLSq8Kpt8T8KeuoqguMAJ3TdyYi7w87gO7s7++f35oYDAaDwWA45xGxIk8V6AXWFP29Gjg6U2FVvQ/YJCJdwLXAG0NH2xeAm0Tk85V2OKNnUUS2EjT5topIcfbrFmD2OZOmbvsHQE+JRb9L0KT8UQKV/FGC5vCfY2YlXU5hR1XfnwI+BUFu6ArmGwwGg8FgMERnftP9PQpsEZENwBGCLnrvmrI7kc3A3nCAy3YgDgyo6oeBD4dlbgR+S1V/ptIOy/VZPB94A9AG/FTR/DHgF6PVpzSqekuUciLyz8DksO6ZlHRv+Hv6/OJ1ekXEAVqBwbO33GAwGAwGg2G2yLyl+1NVV0Q+CNwJ2MBnVPU5EflAuPyTwO3Ae0SkAGSAt8+lC165PotfB74uItdM9gesBiKyQlWPhX++GXg2/P0N4D9F5K8JBrhsAR5RVU9ExkTkZcDDwHuAjxet817gQeCtwD2mv6LBYDAYDIaqI/MXlFtVv0MwoLd43ieLfn+MYFBvuW3cC9wbZX9R4iy+S0TeOW3eCLAzFJTzzZ+LyGUEzcUHgF8CCFXzF4HnARf4n+FIaIBfBj4LpAgGtkzGhfw08O/hYJhBAletwWAwGAwGQ/UQ5i3OYi2IIhYTBIEcJwe13A48B/y8iLxSVX9jPg1S1XeXWfbHwB+XmL8TuKjE/Czwtvm0z2AwGAwGg2F2SKTMLPVKFLG4GbgpHE2MiPwTcBdB5PBnFtA2g8FgMBgMhsWPMNs4i3VFFLG4iiD690j4dyOwMuwrmFswywwGg8FgMBiWBDKfo6GrThSx+OfAkyJyL4E2vgH4ExFpBH6wgLYZDAaDwWAwLHoEosRPrFsqikVV/bSIfIcgF6EAv6Oqk6FpfnshjTMYDAaDwWBY9MxvnMWqE8WzCEGml/6w/GYR2RxGBDcYDAaDwWAwlGXWuaHriopiUUQ+BrydYAS0H85WwIhFg8FgMBgMhijMY5zFahPFs/gm4HxVNYNZDAaDwWAwGM6GJR5ncR8QA4xYNBgMBoPBYJgtssSboYE0wWjouykSjKr6awtmlcFgMBgMBsNSYokPcPlGOBkMBoPBYDAYzgZrCWdwUdXPiUgKWKuqu6tgk8FgMBgMBsPSQWRR91msaLmI/BTwJPC98O/LRMR4Gg0Gg8FgMBiiIhJ9qjOiyNyPEATkHgZQ1SeBDQtmkcFgMBgMBsNSQ6zoU50Rpc+iq6ojMlXp6gLZYzAYDAaDwbC0WOTN0FHE4rMi8i7AFpEtwK8BDyysWQaDwWAwGAxLiDpsXo5KFJn7q8A2grA5/wmMAL+xgDYZDAaDwWAwLC2WajO0iNjAN1T1FuB3q2OSwWAwGAwGw1KiPgeuRKWsWFRVT0TSItKqqiPVMspgMBgMBoNhySAs+T6LWeAZEfk+MDE502RwMRgMBoPBYKiMArpUPYsh3w6nYsxoaIPBYDAYDIZICFhRJFd9EsXyNlX9u+IZIvLrC2SPwWAwGAwGw5JjMXsWozSgv7fEvJ+dZzsMBoPBYDAYliYii3o09IwWicg7ReSbwAYR+UbRdC8wUDULDQaDwWAwGBY785juT0RuFZHdIrJHRD5UYvltIvK0iDwpIjtF5Lpw/hoR+aGI7BKR56K2FJdrhn4AOAZ0AX9VNH8MeDrKxg0Gg8FgMBgMzNto6DCs4T8ArwJ6gUdF5Buq+nxRsbsJQh+qiFwCfBHYCrjA/6uqj4tIM/CYiHx/2rpnMKNYVNWDwEERuQXIqKovIueFO3tmDvU0GAwGg8FgOIeQ+eyzeBWwR1X3AYjIF4DbgFOCT1XHi8o3Eg5MVtVjBI5AVHVMRHYBq4rXLUWUAS73AdeLSDuBUt0JvB346Wh1Mmg+i99/GPUKSKoZq2sVUod9EgyGhURV8ceH8NOjIILd3ImVaqq1WXVBNlcgkysAkErESCZiNbbo7PB8Zd8xZTQNiRhsXikk4/XRqb/gKifHfDwfkjGho1mwKry8867SN6IUPGiIC8taKbmON3Ac7/hBULC712AvW3lGGVUll57Ac/OIWCQam7Dt+Rkd67oumUwGVSUei5FIJpEaDqZQhf5RGJoIWlSXJydo8INQzXZDC/a0+17Vxz92EH/kJGLHsFZtxGpsqYXpC4cw276IXSKys+jvT6nqp8Lfq4DDRct6gavP2KXIm4E/BZYDry+xfD1wOfBwJWOiXKmiqmkR+Xng46r65yLyRIT1znnUzVN4+j784/vCi0RPdXJ1tl6Ns25brU00GKqCN9JPbu8TaD5zeqYqVlMbic07zlnRmMkVOHJimHzBJXibACiJmMPK7jZSi0Q0qioPv+Dzo6d9fA3Eggj4ChetF153pU3MqY14cT1lV6/LiRFF5LRtlsCmHpu1XXbJdZ484HNkMCgXrBOsf8EqYWO3ICJ4/UfJ3Pmf+IMngo0Gvhusti5Sr34nds9aAMaHBxk9eQJVJSgkKEqqsZn27lVY9pk2RKqb69Lf10c2m50y37ZtOru6aGxsPKvtzoWjg3D/C5DOASiqPqpJOpw8VzbtosnKYiUbaFi3DbuhmcLeZyk88C20kCu6cHzsVZtI3PgWZAk9G3R2YvGkqu6YYVmpm+mMkIaq+lXgqyJyA/BR4JZTGxBpAu4AfkNVRysZE8VyEZFrCDyJk/EWF2+woCqhboH8/V/BP7YPfA+8AnguuAUo5HCff4DCizsrb8hgWOR4wyfI7noAzY4H98LkpD7+2CCZp3+InxmvvKElRiabZ3/vALm8i2oguIIJsnmX/b0DZLKFWpsZiR887nHPkz7ZAuRdKHjB/64Hzx5QPnuXi+tVPzyv5yuP7ClwfETxFTyfU/8XPHjxqMee4+4Z69y3KxCKvoLrgxf+X/DguV5lV6/i9R9h4gt/i9/XGz7X8+DmwS3gnzzGxBc/gXv0AKMDfYz0H8P3vVA4BQIKVTLjY/Qd2ovve7Oum+u6HOntPeVRLJ5c16XvxAnGxsbm61BG4vAA3PkUjGaC4+X6gqc2PjYn3VZ+MHIlE24cPzPO+Is7yT11P/l7v4ymx8LjFx5Hz8U7/BKZO/4BzUxU3vGiYBaDWyp7hXuBNUV/rwaOzlRYVe8DNolIF4CIxAiE4n+o6leiWB9FLP468GHgq6r6nIhsBH4YZePnMu6eJ9D0KOgMDwHPxdvzOP74cFXtMhiqiapP9sVHAnE4E16B3J7HqmdUHaCqHD4+HHqaZi7Te3yobJl64PiQ8uiLQVNtKVwP+kbg0d1+dQ0DDvR5pEOHVSl8hQN9PhPZ0wX2HFPGMsGyUng+vHRc6f/+twNhMxNunom7v8zoYH+Zc6i4boGxgf5oFSri5MmTeN7M95WqcrK/H9+vznH3fPjhs8H/pbEoqM2j6QuDP/NZCo/cGQjEUqiPZibIP/S9hTC3JqhYkacKPApsEZENIhIH3gF8o7iAiGyWsC+CiGwH4sBAOO/TwC5V/euotle0SFXvU9U3qurHwr/3mVR/5VHfxzv4bPkXJIAq3gEzVsiwdPEGj8381i3CHx/Cz5473sVMtoA781v1FAXPr3vv4oPPe7gVquJ68MAuv6rCV1U5dNKvePn5CgdPeqfW2XNCK66jqhxsvqiiDbnutTMr1dMbY3xkcFbHxvM80ul0pLLV8i4e6K9cVbAYcFuZ8JJI/9HKueB8D3fvM2g+W6HgIkAELDv6VAZVdYEPAncCu4Avhs68D4jIB8JitwPPisiTBCOn367BRXYt8G7gpjCszpMi8rpK5pvm5AVAM2OVhSIEzXD9vQtvkMFQI7yRPvDdygVF8EYHsJJLp39SOSay+UjiQFVJZ/M0pOJVsOrs2H9cI4gEyOZgIgtNqYW3CSBbKOflmsrAWFAwk4+2jiIMtm6uWM7t6IlmgIJbyBOLJyIVz+VyCJW1lqqSSadpbW2NZsccODLIjN7lYiyUAa+V5pFBRCMcbNvCHziOvWL9nG2sJfOdG1pVvwN8Z9q8Txb9/hjwsRLr3U/pPo9lMWJxIVCfyOeizpuYDIY5MZvr+1y6F5bQYYlsnlS3LpNjJWZ1rGe1hwjP+NnE1Vuge6VahzyK7jtVVmdzMcjsNl7PLOIoKIvX8jpGUs1Eu0UFae1aaHMMhpphNbVXbFI5VbZx4b0f9UIy4VQM2wJBmJZkor6/6Xvao30Y2xY0JhfYmCKSsxhI3pwK6pCKRf3MV5rTxyqWskYHifYuUOxYdO9xLB69bDIRzVs5V5a1ghPhVleEVnscmlqiedo8F6tt+dwNrAMUiTzVGxXFoogsE5HfEZFPichnJqdqGLdYEdvBXnVe5RFNto2z6bKq2GQw1AKna03lQoAkUthN7QtsTf3Q1JCIktELkaBsPXPNBRaxCnrWtmDHFsGyqvcStCxhZbtV8bVrWbB+mX1qnbXLIjy6LWFd/0MVbUgceiFSTN1UcyvWLLyQsViMRAQRKCI0t1QnXuHmnmjOwkYrTZszjr98NZWluWCv2og0LIXuKTKfA1yqThSLvg60Aj8gCJ0zORnK4Jy3A5wEM94MloO1fN2S+WIyGEohtkNs/UXlvYuWTWLT9uoZVQeICCuWtZYVJSKwcnlbTYMrR2FDj7BuuczoVRKBVAJefuHZxRKcCxu77bLeLkugq0lobTh9jLeutIjbM8sYy4JlLdD98mvBKeO+dGI0XnULyaaWsufQsmxaO7sr1ORMOru6ym5XRGhtbcVxquOZjjtw5SZwyqgKG48rGl8I/kg2YG+5tPwxjMWIX1Nx7MXiQazoU50RxaIGVf3/VPWLqnrH5LTgli1yJNlI/LrbkaZWKI7SH450sldvIXb5zbUz0GCoEvGeTacFY7FotBxw4iS3XoPdcu51x2htTrFqeRuWTM0kMvn3quVttDRVsd32LBER3v4KmwvWCLYVeBEnidmwvA1+8VaHhmT1RW8iJrzsvBiNiandByeDcve0WVyy3pkiuhIx4cZtFs2pqXWxwnVWd8DVmy3im7aRet27IZ6EWJGXLxaHWILkq95OfOt2OnpW09DSdkb8PBHBicVZvnYjdmz2wdcTiQQrVq7Etu0p9osEAcNb29po7+iY9XbnwkVrYcem4LgVi0YHl7jkua7pSbri42DZpNZdSPLG23EuuiZ4R9pFx8CJI42tJG97P1bbsqrWYcGQYIBL1KnekEoj8kTk/wAPhCNvljw7duzQnTvnL1i2quLufw5371PgFZCGFmKX3oBt+ioazjE8t8Bo7yG8sSGwhFjbcppXrMSK2KdxqeL5PicHR5nI5ABoTCXo6mjBns3giDpheCTHk8+NMjwBybhy0ZYGVq+sfROiqnK432d/v4/rQSoubFtj0do48zFWVXoHlH19SsGFxgRsWyO0NExdx3cL5J5+ALd3D6A4KzeQuPQ6rNjUZmI3M8H4sQO4bgFLLBo6lpPo6J6z59j3fdInekmPDKG+EkskaFmzESfiyOqFIJuHR/fCydEgV81K6yjn8wK2pTjNHcQ3XoJV5PH0J8bIPvMTdKgPnBixjduIbbx43r3qIvJYmawoC8pl27bqPf/1z5HLd156Q81sLUUUsThGkIQ6D0wG/FJVXWKJGwPmUyz6Y8OM3/F/8fqPghdkrCAWB1US228gddObTY5owzlB33CBfcdzKDAZI9gScGzh/NVJWhrOTcE4kU7T19d3KvMGnPYMLV++nMaGhhpbGA1Vn/y+p3D7Dgbtt34YEUIEq6md5PlXI/HaeEnHs8q3HoWTI0EmFtVgIIYqXLIert92Zr7nbF554EVlOB1URQm8ZaqwsRsuWxeco8LoAJkDz6K+fzpcmhV4+lLrthFrWxY4DF58FO/Q84Fn0QtTO1oW0tRO/PJbkOTZpeXzh/rI33cHmhk/Hdw6bNZ1LruR2NYrz+6gzYHdR+GhF4PfBQ9QxdE8cT/DdX3/TZf2g+WQeMVbsFZvIdt3mOyJ4usGEAsrnqRp/Tbs5PzdAzUXi1/4l8jlOy+5vq7EYpSg3M2qaqlqMvzdvFSF4nzip8cY/eyf4Z04HNzEk0P/w5RGucd/TPrb/1FbIw2GKtA3XGDvsVyQaq0oAoavkHeV5w5mGMvMPt3ZYiedTnPixAl8f2qwalXF931OnDgROfByLVFVci8+itt/KHjOnTrJejql4zP3om6ZbCcLRCav/Nd90DccpJ+bPMyuF8RTfOYg3PXE1HXyrvKDZ5XB8aDM5JmZTBW4vw8e2aMURgZJ730KdQtT4+r6Huq5pPc/Q2G4H/f5n+Ad2hWmfZ2MOapBubEBcg9+Hc1lmC3+yAC5O/8NHRuamgXFLYBbwH3ihxSee3DW250Lu4/CA7sDkXgq5qIIrpUg7bRxd8/7GJROyKXJ3f0F0i89HghFnfZwUB8/l2bspSfwzuLY1CtLfYALIvJGEfnLcHrDXHcqIm8TkedExBeRHdOWfVhE9ojIbhF5TdH8K0TkmXDZ3xelsUmIyH+H8x8WkfVF67xXRF4Kp/fO1e7ZkL3/u2h6YuoNUIybJ79rJ+6Jw9U0y2CoKp6v7D2WK5sRw1fYczRXPaPqAFWlr79cGrhoZeoBf2wAb+h4mUQEiuazFI7uqapdAI++CJnczEmEXA/2HIMTw6cL7Dqi5AozB7zxfDgyBMf2Hywf/099snuewDu6Z+bA9KpQyOHufTxahYooPHpnkIt6JjwX96n70Gx1PjgKHjy4u3xQc8+K83DnbQCoZZOfGC17DNV3yRzdO9+m1gjBFzvyVG9ECZ3zZwT5oZ8Pp18P582FZ4G3APdN29eFBDkOtwG3Av8ocuqo/RPwfmBLON0azv95YEhVNwN/QxixXEQ6gD8ArgauAv5ARKoSm0PdArmnH6ycxcXzyD1ydzVMMhhqwsCoGylwXTbvM5E9d7yLmUwmUs5e3/fJZOrbs1I48lKE1KY+hWN7qyp8PV955lDlbJOeB4+FesT3lX19EdbxlQP5FRVtsCaGZnYYTKI+3pE9qBch09HkKhOj+H0RHA0iuHueirzdubDvBJHu9dFYFyOxZXjLVhElBmVhbBB/pvzRiwnh9CCnKFOdEcWz+DrgVar6GVX9DIFIm9NYdlXdpaq7Syy6DfiCquZUdT+wB7hKRFYALar6YJjb8N+ANxWt87nw95eBm0Ov42uA76vqoKoOAd/ntMBcUPyRwWgF1cc9sn9hjTEYasho2qv4rpxkPLtEsjREIJfLRU73l8tXv/l2NvjjQ9EKqo8WqpfjdyxDpHjYChwPq5DJR00sIoz4zZVLFbLRjBAJ0sRGxB/qmxplYyY8F7//UOTtzoXjQ4GnthKCz2B8BX5zW7SA/WLhZSfmbF/tERQr8lRvRA3A1AZMKqCFTLOwCiiOdNobziuEv6fPn1znMATJtUVkBOgsnl9inYVlNl8FdfgFYTDMF7O6FRbOjPpjKd33UauiOovCc2c2mf7kjB/VZpbHZlbXT3UqFd0kQdDq5SGsE+Y7N3S1iSIW/xR4QkR+SHDV3QB8uNJKIvIDoFQW9d9V1a/PtFqJeTPdRZOX2tmsM3WnIu8naOJm7dq1M5gWHau1I9qdY1k4a8+b8/4MhnqlpcGmb8SN5F1sStVfP52FIplIICIVvYsiUrV0bWeL1dyJN3CkckEnhsSqV5fJOImVvF0CrOoMfjfEwRao5CATlHZrpKINfrwBKzNGZWUkSENlT+UkVkd30WCZMtgxrJ71kbc7F1a0B4N/CpV6JGDRmTuCNdqC19RS2buoip2qffil+aAeB65EJcpo6P8CXgZ8JZyuUdUvRFjvFlW9qMQ0k1CEwPtXnB9sNXA0nL+6xPwp64iIQ+D5HCyzrVK2fkpVd6jqjmXL5h4AVGyHxPbrKzcTWDbJK1855/0ZDPVKZ4sTya/RkLBoSCzeB+lsSSaTkeIo2rZNMlnfgbljK7dUfuGLRWzFpqpmo7Es4ZL1UwNrl8K2YPum4LeIsKknCOtUadsbEicq2uA3t0+NBl4KsbBXn4fMIt6opJqwVmyI4JRQnE2XRN7uXNgQJRmZ+rTnj9HsDmKfPEIUr2estRMrSpP7ImBJ5oYWka3h/9uBFQTi6zCwMpy3EHwDeEc4wnkDwUCWR1T1GDAmIi8L+yO+hyAN4eQ6kyOd3wrcE/ZrvBN4tYi0hwNbXh3Oqwqpa27Fam4De4YHQCxO4opXYHdV7iRtMCxWLBG2rEqWffnaFmxZWd/es/lGRFjeXT4g82SsxXpP92c3d+AsWzOzYBQLSTYSW7G5uoYBV24JPIwzXX+ODRetg66W4nR/EmR8mWEd24INy6B788byQlAsGjZvx163LchWNEMZSTbgbLo8Yo1OE7vyNUHmmJmuD9vB2fGqqsW3dGy44YIy4lx9Yprn6oGvAYFMTLR2lU1tJ06MhpWb5t3W2rC4c0OXk+u/SdA0+1cllilw09nuVETeDHwcWAZ8W0SeVNXXqOpzIvJFglHXLvA/VXXSqf3LwGeBFPDdcAL4NPDvIrKHwKP4DgBVHRSRjwKPhuX+SFUjjjyZO5JM0fyz/x8T3/ws7oHdwQ2t/ilvY/La15K8+lXVMsdgqBmdzQ7nr06y51gOz9NTXdcESMYtzluVoCF57jRBT5JKJlmxYgV9fX14njclKLdt23QvX173XsVJ4hsvR2JJCkdfIshr5gUiQBW7vYfE5iuQGniH4o7wjuuVO5+AQ/3BY9j3w294DcTklVumruPYwk0XwaN7lePD4ToaNE8DbF0VCEqRVhq3XEHmwLP4hVzY0qyBAHRiNKzbhtPcjja1QzyJtycM6Oh7pwSetK8gfskrzqp53mpqJfG6nyP/46+hw33BvpVAtNs2sR2vxtmw7ewO3FmyoTvQz/e/EMay9HxQD1Gl2R3k2pN30KojSHM78Vfcjt29FmvgGNlj+4Lr3/dPHRu7oYmmtReekQlnMbOY+yxGyeCSVNVspXlLhflO9wfgjw5R2PssWshjtbQT23wxUi55usGwBFFVRtIe6ayPCDQ32DSdgyJxOqpKLpcjmwtiTSYTCRJhn8bFhnou3tBxNJ8B28FuX4FVo8wt0xnPKPtPBH3qmlJBJhbHLn+MM3nl2FAQ0DsVh5XtYE9zOaoqXnoUbyLow2g3tGA3tp5x/tT38PsOodlxsGPYXauReeqL54+cxD9+AHwfaenAWrERqWG6SFU4OgRD4yCiLPeO0zZxEACrayXW8jVTjo+qUhgdwM9nEbFwmtuxE6l5t6uWGVwuuWibfucr/x25/JrzL66rDC5RPvUeAKY3O5eaZ5gBq6WdxOXX19oMg6GmiAhtjQ5tZ5fZbMkiIiSTyUXjRSyH2A5O1+rKBWtAU0q4eP3s1knFhY3d5cuICE5jK05j+UAhYtnYPRtmZ0BErNYurNauBdn22SACqzqCKWhDWBFOM5UX4nVk/4IgUpfNy1GZUSyKSA9BqJmUiFzO6Z6oLcDiSFhqMBgMBoPBUAfUY2aWqJTzLL4G+FmCUcR/XTR/DPidBbTJYDAYDAaDYUlRj6OcozKjWFTVzwGfE5HbVfWOKtpkMBgMBoPBsGRQlmgz9CSqeoeIvJ4gX3OyaP4fLaRhBoPBYDAYDEuFJelZnEREPknQR/GVwL8QxDJ8ZIHtMhgMBoPBYFgyLObQOVF8oi9X1fcAQ6r6h8A1TM2MYjAYDAaDwWAog6pEnuqNKGIxE/6fFpGVQAFYmPH/BoPBYDAYDEsOQbEiTxW3JnKriOwWkT0i8qESy28TkadF5EkR2Ski10VdtxRR4ix+S0TagL8AHieIEf8vUTZuMBgMBoPBcK6jzF+fRRGxgX8AXkWQivlREfmGqj5fVOxu4BuqqiJyCfBFYGvEdc8gygCXj4Y/7xCRbwFJVR2ZbeUMBoPBYDAYzlXmcYDLVcAeVd0HICJfAG4jSJUc7Et1vKh8I2FCyijrlqKir1NE9orIB8Kd51R1JBSNBoPBYDAYDIaKCD5W5AnoCpuPJ6f3F21sFXC46O/ecN7UPYq8WUReAL4N/Nxs1p1OlGboAvBKEbka+CVVzUfZsMFgMBgMBoMhYJYDV06WyQ1dakN6xgzVrwJfFZEbgI8Ct0RddzpRBrikVfXtwC7gxyKyLsqGDQaDwWAwGAyn+yxGnSrQy9SoNKuBozPuW/U+YJOIdM123UmieBYl3Nmfi8hjwJ1AR4T1DAaDwWAwGAzMa5/FR4EtIrIBOAK8A3hXcQER2QzsDQe4bAfiwAAwXGndUkQRi/978oeq3i0irwHeG6k6BoPBYDAYDIZ5E4uq6orIBwmcdzbwGVV9rmh8ySeB24H3iEiBIATi21VVgZLrVtrnjGJRRLaq6gvAkVCVFmMGuBgMBoPBYDBEYn6Dbavqd4DvTJv3yaLfHwM+FnXdSpTzLP4m8H7gr0rtC7hpNjsyGAwGg8FgOBdRwF+KuaFV9f0iYgG/p6o/qaJNBoPBYDAYDEuKeeyzWHXK9llUVV9E/pIgH7ThLPAnRik89zDuS0+CW0Ca2ohdci3Oxm2IHaXLqMGw+FFVCvtfYOK+7+IePQgixDdvo/H6W3F6zu1U8xPZAn1DGSayLgCNSYfl7Skak7EaWzY71PdJj48wPjSA57pYlkVDSxuNrR3YTm2fdYNDeb7+vaPcdW8fmazH8q4Eb3vjam58eRexWOmgIJpN4x54Bv/wbtQrIKkmnI2XYa3cNOXZ7Y0Pkz+2F39sEFCspnbiKzZhNbUjEogD9T384/tx9z+NpscR28FauRln/TYk2Tinunn5LOmBE+THh0AVO5GiobOHWGPrqf1Xk8l7Pf3j7+EeP4SKRXrlVga23EShbQUtDRaru2I0p+xT5SfSWQaHxygUXESgqTFFe2szsdgSekfqrEPn1BUS9HcsU0DkD4Gnga9opcJLgB07dujOnTvnZVvu/ufIfv8LoAqee3pBLI6kmkm9+ZewGlvmZV8GQ72iboHhf/978vt2QT53eoFY4Dg0XPcaml7ztpq82GqJqnKob5yhsRzTn6wi0N6cYO3ypkVxXNxCnv7D+/A9H1X/9AIRBKFz5RqSjc01se3+R07ykT/fha9KPn/6QKeSNu2tMT7xZ5exvCsxZR3v+H4Kj343eHb73ukFdgxJJIlf91ZINZHb/zTuyd6pZQAsG6ejh8Sm7ZDLkH/wa2g2DV5hShlEcC69CWflprOqW3rgOBN9hznzArJwkg20rTsfseyz2vbZoG6Bkc//PfmDL06511Us1LIZuOAWBi55A5bAslaHTd0Ovcf6yRdcpssLEWF5ZxttrU3zZp+IPFYmduGCcuFFl+m/f+WeyOV3nN9ZM1tLESXO4m8CXwJyIjIqImMiMrrAdi16vBOHA6HoFqYKRYBCHh0bIvO1/4tOf8gYDEuM0S9/mvze56cKRQD1oZAnff+dZB78QW2MqyFHByZKCkUI3v1DYzmODkxU37BZor5P/+F9eK47VSgCqKLqM3D0EIVctuq2vbBnjD/4811kc/4UoQiQyXqc6M/ywQ89ieuettsf7g+EoueeKQK9ApoZJ3//HeQO7SotFAF8D3fwOLkDz5J/8OvoxOhUoRiWwXNxn7wHf+j4rOuWHRlgoq/3TKEIoD5udoKRwy/NertzYfTL/0x+/wtn3OuiPpZXoHPX3bS+9GN8hf6RAvsO95HLF84QihB8TPUNDDM+kamW+QuKIvhqRZ7qjYoWqWqzqlqqGlfVlvBv4w6rQP6RuwKhOBPqo+kxvAO7qmeUwVBlvOFBss88AoX8zIUKecbvugP1zp0PJ8/z6R/OlnzPT6IK/cNZPN+fuVAdkB4bwa9w7lSV0YG+Kll0mk//xwHy+ZmPn+fD8GiB+x4aODXPfeGhMz/wi1FFcxm8A8+UFoqT+B7e4RfQ7Dhl81j4LoUXHilTi1ImaCgUy1wbqhTS47jZ9Ky2fbZ4Q/3kdj1R9r1neXmWPf0t8H1sPLxyx5mgnv0DI/Ntas1QlchTvRFJvopIu4hcJSI3TE4LbdhiRrNpvCP7Khcs5Mk//cDCG2Qw1IjM4z8mUsIn3yO/p2KoryXD8Hg+Uld3CcvWM+PDAyU9Q9PJTIzhV1H4jk+47HxqqKwgB0hnPL70zV4AtJDD7ztUeeNeARkfrlhMMmPlhWeIDh1Dc9E9aG42jV/OGXFqwz6ZoeqI9Mzj95cXryHiuTT0vUjKzka6BwquSz4foa6LAH8WU71RsfeoiPwC8OsEKWGeBF4GPIgJnTMjmh4D2yn/1TlZNsIDx2BYrHgDfeBGeFn6ijcyWAWL6oOC6+NH0dAalK1nvCiihUD4+p6LZcUX1qCQweE8jm1RKFR+Dvf1B82mmssEfWmpvI5EEIFRygBg2WgujSRSkYr7bh6R0i3Q0/Gmd/9YILyBPojUOqA46WFsWUmU7rgiUHA94vHFNeCrFPXoMYxKFM/irwNXAgdV9ZXA5UD/glq12IklIglFAIklKhcyGBYpVqqR0nnrpyGClUguuD31gmVJZM+iVecDXIIIa5VRVawqDrZoSNm4XjSh3RCOzBUnHsk7FhSuXG+NeGzwfXCiiyGx7EhCEUDs6hxzq6GJKPe6AH4sGTmMTHDd1Pc9EIXZ5IWuxxA7Ua7krKpmAUQkEWZ1OX9hzVrcSFMrKpVvUPV9ZPXmKlhkMNSGxMVX4Ud4CarnET/v4ipYVB+0NMbQCM3zitLSWN8elVQsFsmj5PgeVpWEC0BXR4IVXZVDr8Rj8OobOgCQZANesnKXfF9s8g3tFct5TiKa+8+ykFT00eKxVFMkz7SnFrHmzsjbnQuJbVdABFEnfoF0z/nkciCFyl5PKeRJJqrjjV5olnqfxV4RaQO+BnxfRL4OHF1IoxY9vk/2eD8aoX9O9sixKhhkMNSGiY7VeM2daBnvmG87ZDZdTsE5hzyLXo645soLCVXimsPyqtOMeLbEDz9PxX6pnkvy4DOR+jbOF6rK22/wSVTQ2hbwqksLp9bp77oQP8LHfm/bJbhlXuqeCtlshE8CVciko3s0gYIv9PtdeGX2rwo+FgP5+Qs9Uw4rZmMlKrSUiRDr6sLBI7X/iaAFrtw14eZJvfDQmZEUFilL2rOoqm9W1WFV/Qjw+8CngTctsF2LGm+wn/zIGPmR8ZKCUVVR32fi8HFyLz5bAwsNhuownikw+JpfxE82oSWaIH07htvWw+i1tzOeWRqd2KOQT4/T5g9i45UWCepj49LmD5JPj1ffwNlw5CWaXnwkGMhRqi6eS/LEPuL9hyBbvVBAfiHH9Rf73Hw5JQWjSDD/d34aUhqMuC24PmPNqxlp31hSMCqBV/Ho2uuYSC5j3GvA9c98jbpqkfaTuBM5JJMOBNFMMZIKBXDdWfVfH00rJ3QFE9pYUjD6Ch42e9xNnKzS5eP3H6bhvM3ITAHYLQuroYHYuvU0ZvpoPvY8bT/6AuLmS3fbcvPETxygYe8TuH29C2t8NdDgvESd6o0ZffQi0lFi9jPh/03AudMbfZao74MImeMncdMZkp1tWPE4k1/fhfE02f4h/HwBu6G+O68bDHNBFbymdvrf8ts0PXU3DbsfOvXi1HiS8YtewcS2G7CcWKRB00sGBQufTv8EE9JEmuZT1RegQcdo1HGsxXBQVIkPH6fl2R+RWX0Bhfbu4ByLYKdHSR3ZTXzwKNhO0PWminaJZfGBn/K4aAN88V7oPQmOHbSaX7UV3vFKWN/DlGtPROjv2U6mYTkd/c8Rz48SnBVlomklA8svIp9sg4LwtaEbuDi1l20N+7EleJb7KjyfWc8z6c28mQPBztITEE9AsZDy/cBj5rowm76SobmCsNfbRJd1km6rDwc39EgpQ34Hx/1uCsRpqtYlpD5WIkHjxdvIHT1Gof9kOF8RxyHe0028ezmeZZHOCskCtIydoOOuTzNxwbVk114Y1EwsrMwYDS88SGrfU8GgnyUQj1hZuun+HmPymjwTBTYuiEVLALu9M3gQAIXRCQqjE4htIZaF7xa53UWIr9lQQ0sNhoWlIRljaCyHn2pm9GVvYvTKN2CnR1HLwm9omTJIIJmoXn+2WuMkkohlYfk+zTpGk47hE9Tfwjv10BWxcOL13TxvtXfjZ8Zx0iM0v/gQatn4sQTiuVhuUdgfy0ZSc0ttNyu7YkF/QRG4/uJgGpmATA5aGyFV1GJqh3Y5dng9ijDeuobx1jXYbhbxXTw7gdqnXZQTOQdXHZ5In8+T6fNosIKg42k/gYaNdgN2N23uEOL7kM2c2jYw1dOoPtLQGrlujQkJvU/CSX8ZJ/0uHFwsfArETu3fEmhtqI5AsdqW4x/dgwWk1q0luWY1WigEWXxisdOZiBR6C91o4wbaxw9gT4zQsvM7ND9xF36iEXwXKztxWni4BezOnqrUYaGpx76IUZmxGVpVN6jqxvD/6ZMRimWw4gkarrw+SOcUop6PX3CnPCAkFqfppjfUwkSDoSq0Nyem+sZsB6+5A7+xbYpQjDkWDYkllAe2AommFoq/wwWw8bCLhCIAloRl65fYtmumjOQV38POpc8Qis55V1Q19ZxYFomOboqPc2sj9HRMFYpYFsnla8KfQnvL1PA1npPEjTdNEYoicGzkdDlFmPBTTPipU0IN4PnkjjNHI09vkhbBWnsBEos+iKMhIbRMEYGCS4w8iSn7B1jdWZ1jbq85f+r7zbKwEgmseHxKyspxaWHIXsa+7huYcg94LnZ6BLtYKALOuvOxmqIL6fpF8DT6VG9U7LNYHIjbBOWOTstr34aVSjFjIKlYnMQFlxJfZ0ZDG5YutiWs6mosO0hSBNYsb14UOZDnCxGhtWf1zM+HoBCt3avr/rhYKzZgLVsTxJYthQgkksQuuqa6hgHJ7nXITHYBiEWsqR274bQgX97RiG3PfMxFoCkV56rzYzhldJhjwyWXr8BauXnmYwMQSxC7+Lpy1SjJ1lU2dpk3uCWwtssiEavO9SOxBPYFLytbVxeHh5M3ApBLdVG44DooJ5LjCRpufss8W1oblKU/Gvq3i6bfB74JfGQBbVoS2G0dLP9//wRnWQ+SSJ5+KTgxcGI0bL+Wzvf9Rt2/CAyGubKsLcXKrkZEpmojSwIxuXFFC80N9R0eZiFItbTT2rMGEWtKrEKRoMtKa88aUi2Vw7PUGhEhcfM7As+SbYNV9FpxYkjrMpKv+wUkWb0m6EmsWILmLZdjJVJT7QovxnjbMhrXXTjlORxzLLas6SARt6fEuJRwtdamBOtWtrJ5hcWrL4O4A7Ei0Rizg+nmS2DraiH28p/CWndh0NJU7Fl1YkhTG/FXvRtpnL33uCVlccVGh7jDFNFoSTCtX26xZUV1u3bENl+OvfXqQDAWicYCMXIkuDf5eobiK3FsuOEC6HnjW0lsf0VQtjjEVjyBNLfR/NO/id21oqp1WEgmncpRpnpDZhvKQETWAH+uqu9cGJNqy44dO3Tnzp3ztj1VJb9vN+knH0LTEzjLV9B49Y3YbaXGDxkMSxfP9xkczZHOuQjQ3BCnrSl+zn8wqe+TGRs+Neo53tBEqrkNsSIGdK4j/PFh3D1PoePDSCKFvX4bVtfKmp9jVcVLj5If7kc9FyuRItHegxWfOdSLqpLOuoyMZ/E8JR6zaG9JEY9NFWCup+w5FgyeAVjRAeevAmead1LTY7j7n0XHBgMv3JrzkWVz9xyrKifHlP5RH9+H5hSsbLeJObU75lrI4/Xuxh/uQ7Hoj69lv2wAsehpgw3LmeKV9dPj5J55CL//KBJLENtyMc6GrZEDvkdFRB5T1R3zutGInLftCv3Efz4YufxrLkvUzNZSnI1YFOBpVV2SEXTnWywaDAaDwWCoPTUVixdeoX8/C7H42svrSyxGyQ39cU4HFrCAy4CnFtAmg8FgMBgMhiXDZJ/FxUqU4YfFbjYX+C9V/ckC2WMwGAwGg8Gw5KjHvohRqSgWVfVz1TDEYDAYDAaDYalSxZD0806UZuhnODO3wgiBx/H/qOrAQhhmMBgMBoPBsFRYzJ7FKEONvgt8G/jpcPomcB9wHPjs2exURN4mIs+JiC8iO4rmrxeRjIg8GU6fLFp2hYg8IyJ7ROTvw4E2iEhCRP47nP+wiKwvWue9IvJSOL33bGw1GAwGg8FgmAtK9BiL9di3MYpYvFZVP6yqz4TT7wI3qurHgPVnud9ngbcQiM7p7FXVy8LpA0Xz/wl4P7AlnG4N5/88MKSqm4G/AT4Gp3Jb/wFwNXAV8AciUv9BywwGg8FgMCwtFDw/+lQJEblVRHaHjrIPlVj+0yLydDg9ICKXFi37f0KH3bMi8l8iUjGnaBSx2CQiVxft5CqgKfzTjbD+GajqLlXdHbW8iKwAWlT1QQ1i/fwb8KZw8W3AZL/KLwM3h17H1wDfV9VBVR0Cvs9pgWkwGAwGg8FQNRSJPJVDRGzgH4DXAhcC7xSRC6cV2w+8QlUvAT4KfCpcdxXwa8AOVb0IsIF3VLI9ymjoXwA+IyKTAnEM+AURaQT+NML6s2WDiDwBjAK/p6o/BlYBvUVlesN5hP8fBlBVV0RGgM7i+SXWMRgMBoPBYKgKCvjz12fxKmCPqu4DEJEvEDjOnj+1P9UHiso/BKwu+tsBUiJSABqAo5V2GGU09KPAxSLSShDEe7ho8RdnWk9EfgD0lFj0u6r69RlWOwasVdUBEbkC+JqIbIOSMnvysM+0rNw60219P0ETN2vXrp3BNIPBYDAYDIazY5YDXLpEpDh04adU9VPh71LOsKuZmZ8nGH+Cqh4Rkb8EDgEZ4C5VvauSMVFGQ3cDfwKsVNXXhq7Oa1T10+XWU9VbKm27xDo5IBf+fkxE9gLnERyIYlW8mtNKuBdYA/SKiAO0AoPh/BunrXPvDPv9FKGLdseOHQsyXskbHcHPZbFbWrESFbsHGAxLEnVd/LFhsCysRZrSbiFQz8MfHQbAamlD7Orm9J1PfN/Dd10sy8ZyojReVQ/P8/B9H9u2sSJee34hD76LOHHELl0f31fGs8HvpiRYVulmRNdTcm6QyzkZm79BDKqKFrLgKxJPIFbtrx/PC46JCDQklIlsUN+mVJATfjp+Poc/OozE4sE9sATTgM5SLJ4sk8FlNs6wVxKIxevCv9sJvJAbgGHgSyLyM6r6+XLGRLmTPwv8K/C74d8vAv8NlBWLZ4OILAMGVdUTkY0EA1n2qeqgiIyJyMuAh4H3AB8PV/sG8F7gQeCtwD2qqiJyJ/AnRYNaXg18eL5tLoeqMv7wfQx9/QsUThwNHjSeR8PlV9Hx5p8mvnpdNc0xGGqGPz7C+A+/SfaRH6HqgypWMkXqultpvO41SCxeaxNrgp9NM/HDbzHxk7tQN+gCLk6MxuteTeONr8dKNtTYwugUsmnGTh4nNzGGIKgqTiJJc1c3yea2mtmlqkxMTDA0NES+UEAksK2xoYH2jg4S8TOvPVXFHTpO/uge/Ow4iAWq2G3LSKzcgt3QAkCuoDyyW9m5R3G9YF3bgu2b4WXnWyTjwTt9NKPsOqIcGwrEkyo0JpStK4XVnZy1MFL1KRzfj3vkRbSQCzYOOMvWEFu9FStR/etnPKP8+FmPJ/cqGg7q8EOVJAQ5oa/eanHtNptkXCicPMHIt/6b9KP3gwjq+zhtHbTc+haarrulLoTvfKAK/vyNcp50kk1S7EA7hYhcAvwL8NqiMIe3APtVtT8s8xXg5UBZsVgxN7SIPKqqV4rIE6p6eTjvSVW9LFKVSm/zzQRibxmBsn1SVV8jIrcDf0QwcMYD/kBVvxmus4NAuKYI3Km/GorCJPDvwOUEHsV3FLXj/xzwO+Fu/1hV/7WSbfOVG1pV6f/XTzD+4L1oLjt1oQgSi9Pzm39Aw4WXlt6AwbBE8IZOMviJj+BnJsCbNiYuFsNZvoqOD/weEk/UxsAa4U+McfLvfh9vZBDcacfFiWG3dtD163+E1dhcGwNnQXZ8hKEjB0q6TkSEhrYuWrqr32VcVTl58iRj4+OUeteJCD3d3TQ0NExZJ3foeQone8H3ztyoZZHafAWFVBf/drfP6AS400av2lbgYXzvLRbpPDzwopYc4WpbsLoDtm+QWQtG9X2yu36CPzZYwk4B2yF18SuwQmFbDYbGlX/5rku2AP60+k4ef98Hx4KWRnjfxYcZ+fjvofncGStIPEFy6yUs+5UPzZtgrGVu6I1bd+gff/rRyOXfdZ01o61hK+qLwM3AEeBR4F2q+lxRmbXAPcB7ivsvhgOWPwNcSdAM/Vlgp6p+nDJE8cNPiEgnoYsz9O6NRFhvRlT1q6q6WlUTqtqtqq8J59+hqttU9VJV3T4pFMNlO1X1IlXdpKofDEdFo6pZVX2bqm5W1asmhWK47DPh/M1RhOJ8Mv7ADxl/8IdnCsXAMDSf4/jf/BHexFg1zTIYqoqqMvzZv8afGDtTKAIUCrgnjjD6tXMvUdTQ5z+ON1xCKAK4BbzhAYY+/4nqGzZLPLfA8JGDM7axqSrp4ZNkx+b02jgrxicmZhSKENh2/MQJPO+02HKHjs8sFAF8n8yex7nz4SwjJYQiBN60sQx87UGfB2cQipPlegfh4MnZ937KH35+BqEIQZyWAtnn75+x7vONqvKf97hk8mcKRTjtPRUJjtnYmEvf3/0hms2UXEHzObIvPM3onV9daNOrhmr0qfx21AU+CNwJ7AK+qKrPicgHRGQy5OD/Jhjs+49h3Oqd4boPE0SOeRx4hkAHfmr6PqYTRSz+JkFT7yYR+QlB2JpfjbDeOc3Q17+A5nLlC6kydt/3q2OQwVAD3N59uAN9oGUCh7kFsk89FHgezxHcgT7y+3aXFtCTeC75fS/gDvZXz7CzID10Ei3dXeoUqsr4wPEqWXSaoaGhSGJpdOz0R3v+6J6ZhWKIqtKY6S0bD89XGM9VHgHr+bD7KLMSdep7uMf3VbbTdfGGqnPcD/crI+nyQkdEJlvKWd3/CHj5stvUfI7R738drVDPxYKv0adKqOp3VPW80IH2x+G8T6rqJ8Pfv6Cq7UVxq3cUrfsHqro1dMC9OxwvUpayYjGM5fOKcHo58EvANlV9unJVzl3cwZO4A5Uf8JrPMfaTe6pgkcFQG7JPPwKF8i8EALFt8i8+UwWL6oPcc48tSNlakBkditRzv5DN4pcTx/OM67q4pby201BVxkKx6Bdy+NnKHy2iPuc3Vow2QnNjtBd/tgDpyrfJKfyxwYgFXdyThyuXmweeO+hTmMXp3dx/H3GvRMvbNNR1yR/cOwfL6gOFpZvBRVU94DZVdVX1OVV9VlULVbJt0eJn0hBxNKOfzSywNQZD7fDT48wwSG8K6it+qS4bSxQ/lynd/Dwdz63746Kl2hxLIbMoOw/4s9jXKa+e554aJFIJx6p8/qIO9hc4NUAmCurN4jXszkKFzoFMRd/UaUQg4Y5HLrwk3pPznMGl2kS5lH8iIp8QketFZPvktOCWLWLs1nbUjXYzOx3LFtgag6F22J3LIUL4FLEEu7WjChbVB3ZrB5QYhXsGsTh2S31nKbWcWPSyM4SeWQhsx4nctOuEH/cSS0SOb5L2KodAiyoAfYVk9MOIxFOR7ZREU+VC80BHs2BHFMeqMJrswa+QqQQAz8Np75qbcXVA4Fmcnz6LtSDKqX05sI1glPJfhdNfLqRRgo/d5wAAMN9JREFUix27qZnU1ksqlpNkitZXv7EKFhkMtSG1/XpKhwSbhmUT37xtwe2pF5KXXBXtjaAalK1jGjuWIVL5VZJsaq1qXE3bsmhIpSqWExFaW1uD37aD3RpBmFg2z4xVDn02MkYkAdXZDIlZxF20GtsCYVuxoE2sZ0Pk7c6FyzZZUZ2yAOxa8Wo8q/IHk7Osh1jP0ki+tqTFoqq+ssR0UzWMW8x03P4zSDnPwf/f3p1HSXLVB77//iIil8qsqqyt971b3Uii1WhDQpbYLINkwUMMyAabwfgZjOFhvxn7GBuGM8ZnPMzD9jzb2NjwNJiBsecYsxjQMALEvltoQbvUUrfUe1Uv1V1de2ZGxO/9EVHqrO7KzMjuqlyqf59zorsy8mbkvREZkb+8N+69jotX6CN/Va1B143pbG7fANkrroNa4yim0uRf9YaOHoi6UU42R/6mW+rslwz5m27BydYPeFqpqyfBIOIidA+tak6GKgwMDNQdksZ1XfL5/POPM+t21Gk/FsRLM7R+NakaxU65sGMNdKVr/1xyHXjh+sbuURMRUpt2Qq0hZcTB6RnAyRca2vb56usWXrBe8GpkSVWfD4TGCtvxV2yu2fIgqTT9b3jr4ma0hRazg0uz2fQJSyS77QWsevcfRGPHnfWFIJks3tBK1v6HP72oviDNxan3jreT3nY5nD2OojiQSpG78dXkfu5VrclcC/Xc9ia6rnxJdH2oDGhEIJWm66qX0HPbm1qXwYTEcRjceAmOlzq3hlEEEYeB9VtIZZof9GYyGVatXBn3wp0fkIkInuexbu3aec+5uV66tl0dBWJnl8dxkXSW3GUv4aadLi/cFA0yPe/wEQeK6+DmKx1edqmQz0RjC87blESB4jVbYKC78Q4NqaH1pDa+MM7jWa93XJzuPrKX3tDwdi/E63/OZdNKIXVW/BcFiWcCxZQLO7e6XPK+/0h67Ubk7FnNXC8KFN/8drquaMmwiIuvgVrFdqxZrDso98VmsQblnuOPnWT8219l8iffJSwV8QZW0HfL7eSvvQFp4F4fYzqZqlJ+7immvv9V/CP7wXFIb7uc/EtvxVu9of4GlrHSgT1Mfe9uSvueASC9eTv5l7+G9MZtLc5ZYzQMmZkYY/rUcQK/jDguXb0D5PoGcVs87Z/v+4xPTDA5MUGoiud5FAoFuvP5qjWPYblI+dgByqNHoun+0lnSq7bg9a+aN0j08Enlp0+HHDoRPV4zANe/wGHtwJmxBcNQOTIGe0aU6WIUJG4YhC0rha70hfV8DWcmKY/sJTg5DBoiXT2k1m7H7VvVkinzVJV9R5WfPBFydEyjQbhdKJUVx4ENK4QbX+iybiiKnjUMmHnsQcbv+TL+sWEk5dF15UvofeVteItcG93KQbk37bhW/8NHk8cW77qldXldiAWLZ1nsYNEYY4wxrdfqYPH9f5M8tnj3re0VLNb9uScib1hg9WngUVU9tvhZMsYYY4xZXjq5bi5J28DbgRuA78SPXwH8K7BDRP6Tqv7DEuXNGGOMMabjaZt2XEkqSbAYApep6lEAEVkFfAy4Hvg+YMGiMcYYY0wNnXzbX5JgcfNcoBg7BuxQ1ZMiYrO5GGOMMcbUEXTwFNdJgsUfiMhXgM/Fj+8Avi8ieWBsqTJmjDHGGLMctOuQOEklCRbfA7wBuIloMKdPA1/QqD71lUuYN2OMMcaYZWFZ37OoqioiPwRKRNMb/lQ7ueHdGGOMMabJOjlyqjuDi4j8MvBToubnXwbuFZE7ljpjxhhjjDHLhYaaeGk3SZqhPwC8eG5MRRFZAXwT+PxSZswYY4wxZjm4GIbOcc4afHsUm1PaGGOMMSaxTm6GThIsfk1Evg78U/z4TcDdS5clY4wxxpjlJezgqsUkHVzeKyJvBG4k6g19p6p+cclztoxo4BOeHAa/jHR1I4UVLZng3ZhWKx89QunQfnAcslt34Bb6W52ltlAqB8wUfQC6Mh7plNviHJ0fVWWmWML3QxxHyGUzOE57XOtKvvLccEixDP3dwvoVUvc6rIFPeGokunZn81Wv3cVyyNRsNIhePuuSSZ3b+KaqBDMThKUi4jh4+T7EXZzjrH6JYOIUaIhku3FzPYuy3QtRKpUolcsIkJYQmZkAwOnuw8nkzknvz0wRlmZAHLx8L46bpC6rcyjLv2YRVf0C8IUlzsuyo4GP/9S9BId2w9wFRhXSWbxLX4K3ZmtrM2hMkxT37+XEP3yM8sF9EH8JqF8mt/MqBt/6brz+wdZmsEWKJZ/DxyaYmi0/H4SoKvlsinUre8ikO+cLc2x8iuMnxwlCpTKc6uvNs3Kwt2U/kP1A+eq9ZX76VDDvMpzLCrdd5/GiS87dxxoG+E/fF127ny+NQiqDt+PFeGu2ATBbCnl2ZIbx6YC5mDhU6Oly2bI6Sy4TBYOlsePMHtlL6JfObE+V9MBqutZtQ5zzCxq1XGJ236MEp0bAcZ7frpPJkdl8BW5v88+r2dlZToyOUirFA6iEIQpkSpP0Th7B9Us4vYNktl6J09VDeXKMqSN7CUvFed+T6cIQubVbl0/Q2OHjLEq1UXBEZIIoGD7nKaIRdXqXMmOtcu211+r9999/wdvRIKB07/9Cx0chXGDYdsfFu/R6vM07L/i9jGlns3ueZOS//hFaKp77pOPg5HtY98G/xBsYan7mWmi26LPn0KmqTVOOI1yyoZ9sBwSMx0+OMzo2ueB0ZiLQlUmzce1Q0wNGP1Du/EqRwycUf4HLcMqDW17s8dIrUs+v0zCkdN/d6PiJKtduD3f71fhrLufRfVME4cLv7Tiwc1Meb3KEmcN7QRdIKA5uNk/39isbDhi1XGL6se+j5dmFoxDHJbv9Gry+VQ1t90LMzMwwPDKy8LR2qjihz+DobtzQB9fD3Xwl08cPVdk3gpPKULjkSmSRAkYReUBVr12UjTVo3dZr9Lf+5N7E6T/4b1Mty+tCqnZUUdUeVe1dYOlZroHiYvKfe6R6oAgQBvhP3YvGVfPGLEcaBhz96P+zcKAIEIaEUxMc/+RHmpuxNrB/+HTNe5jCUNk/fLqJOTo/xVKZ0bGJqvPeqsJMscSp8akm5wx+9JjPkSqBIkDZh6/91Gd0/Eyw4h94vM612yd45gGee+5Y1UARIAxh78Gx6oEigIYEs1PMHjuYsERnzO5/rHqgCBAGzD7zABr4DW/7fKgqI0ePVp//WITQ8Thd2BilDwKmj+6vsW+UsFxkemTf0mS4yaJmaE28tBvr1bwEVEOCfY9Wv9icSYi/7/HmZMqYFph55MHqgeKcMKT4zBP4o8ebk6k2MD1bplQtgqlQKgdMz5abkKPzd3Jssm7zmupcuuZ9CYaq/OARn3L9yzA/esyP/1aCfY9BWDvAUlV6Tj5dNw/52WP12x41pHT8UEP7Rv0ywcnhRO2a/uiRxNu9ENPT0/XLIEIp3U3geASpLAs3XlZQpXjqGFrvu7QTRC3yiZd2Y8HiEtCZSUjya05DwmMHlj5DxrTI9OMPorMz9RM6LjO7H1v6DLWJyZlSovuXVGFqpr2DxcnpOj8GYr4fENSqiltkp6eU2VL9dEEIuw/E+SpOQ7l+eURDemeG66bLh6epGxARVTCExQTnSSyYPHXmHsVawgB/bCTxdi/EVJJgEUCVUrqb0EuDJCiDCP7M5IVnsA0sZs2iiNwqIrtFZI+IvG+B598iIo/Ey49F5EUVz/WJyOdF5CkReVJEbqj3fu1/M0wnCkMg2b05Wq0K3phlQMtJAx0Fv72DosXUSAVbOzZJVdIEwRAAIklTLoogONNfom7a+DKsYfIXSYJrd/ISS/Xm2IU08ploUjVV0s+pVPzbwMYbzU7bURZvUG4RcYG/BV4FHALuE5G7VPWJimTPAS9X1VMi8ovAncD18XMfAb6mqneISBo4t3v6WaxmcQlINp/4xHd6BpY4N8a0TnrDFiSdSZBSSK3duOT5aRfZtEuSEWUcoe17RGdSyfPnuc37yinkJXGMsWogDmEyuSQVgSgwmyrUTVeUrmThoipOOpskJQBOV3eyIFAcnHz9fC6GTDqdqAOTAp4/i4R+siBQQ9xM14VnsNV0Uaf7uw7Yo6rPqmoJ+Axw+7y3U/2xqp6KH/4rsB5ARHqBlwF/H6crqepYvTe0YHEJiJfCWbONur+eXA9vy66m5MmYVui54RWJvhDcngKZbS9Y+gy1id58JlkNlgi9+fTSZ+gCDPb1JAoS+npzTe0NnfKEKy+pH5SnPXjZrijgFdfDXbut7rER1+NEX/3P65i3EknQ1JoqDDXU49fJ5nFyyfqZplZuTrzdC9HTk2xsRzcs4/kzuKVkze5erhcnleQHZ/tTTb4AQyJyf8XyzopNrQMqe0UditdV83bgq/HfW4HjwH8XkZ+JyCdEJF8v7xYsLhFv+zXgpaoncFyc/tVIf/OGNTCm2ZxcnsLr3lSzdlHSGQZ/7d0X1UD1IsLaoe6aMYkIrF3R3fb7JZ/LkM2kapbFdYTBvuYPFH3zNR7pGpdhz4WNKx22rjnzVehtuwrc2tduKaxgxaYNNQNRR2DV6kG87r7a9+Y5Ltk1W6o/X0Vm806oNdyO45JauRGnSbVyruvSVyjU/ryGIb3jhxCi/ZPqytfeN+KQO499067CUBMvwAlVvbZiubNiUwvt5AV/lYvIK4mCxT+MV3nA1cDHVPUqYAo4557Hs1mwuEScXA/pG14Hmdz8C49IFCiu2EDqmle3/ReBMReq77Y7KLzmDiSVQlJnaskkk0UyWVb85u+S23l1C3PYGgOFrucDxsrLgBM/XjvUzUBv+ze/iQgb1wySy2bOuZ45IqQ8l83rVpLymj8rTX+3w/91e4ZCnnlBoyNRoLhjvcOv3zq/+VSyedLX/x+QzS987R5cS/rqV7OiL8OW1VkcYV7QOHf8Nq7MsGogQ37LTlK9g3FQVJnQRbw0PduvOq9mVre7n+yO66JB7iuDRnFAHFIrNpLe1NxxfPv7+ynEAeO8fRoGSBjQd3ofGX8GHIf05l10X3IV6b4V8QlQuW8cxPXo2bITr6u7qWVYKo10bklw/+chYEPF4/XAOd3eRWQX8AngdlUdrXjtIVWdG/Tx80TBY01VB+W+WC3WoNxzVEPC44cIjuwFv4TkC7gbLsXp7lu09zCmEwTjp5n44Tco7t0NrkfuiqvJX/cynMzyaGI6X0EQcnJ89vlez91dKfp7s7hNvL9vsRRLZU6NT1EuB7iuUOjOkes6N4hstlCVZw6FPLQnYKaoDBWE6y/zWNFXfR+rKuHoYYLhvVAuIbke3PXnXruDQDl2usT4dAAKPTmXlX1pPHd+mYPiNKXRYYLZacT1SPetxOsduOB9o2GIf2oY/+QwhCFOvkBq5aaG7oFcbH4QMDE+zmyxiKiSKU+RnT4R1SgWVpBasRGpaHkLSkWKJ0cIZqcQxyFdGCLVO5CoCb8RrRyUe/Wmq/XX3v+jxOn//N25qnkVEQ94GrgZOAzcB/yqqj5ekWYj8G3g11T1x2e9/gfAO1R1t4j8MZBX1ffWyo8Fi2dZ7GDRGGOMMa3X6mDxLX/4g8Tp/+I93TXzKiK3AX8FuMAnVfVDIvIuAFX9uIh8AngjsD9+iT+3PRG5kqjGMQ08C/yfFZ1hFtTe3eyMMcYYYzqcKjVnbGp8e3o3cPdZ6z5e8fc7gHdUee1DQENBswWLxhhjjDFLrJMbci1YNMYYY4xZYgnGT2xbFiwaY4wxxiwhVSXs4KpFCxaNMcYYY5aY1SwaY4wxxpiqLFg0xhhjjDELU+jgWLE1M7iIyJ+LyFMi8oiIfFFE+iqee7+I7BGR3SJyS8X6a0Tk0fi5v5Z4JFMRyYjIP8fr7xWRzRWveZuIPBMvb2tmGY0xxhhjIJqLT0NNvLSbVk0R8A1gp6ruIhqF/P0AInI58GbghcCtwN+JyNw8Rh8D3glsj5db4/VvB06p6iXAXwJ/Gm9rAPggcD1wHfBBEelf+qIZY4wxxlRa1On+mq4lwaKq3qOqfvzwX4nmNQS4HfiMqhZV9TlgD3CdiKwBelX1Jxrtxf8BvL7iNZ+O//48cHNc63gL8A1VPRmPTP4NzgSYxhhjjDHNodHUnkmXdtMO9yz+BvDP8d/riILHOYfideX477PXz73mIICq+iJyGhisXL/Aa+YRkXcS1VqycePGCyjKwsYf3c3R//Ut/PFJcpvXs/ZNryHVX1j09zGmnWkYUj59An92EhBS3QW87v6WzxvcaqpKeXwUf3ocAC/XS6p3sCP3i5ZmCUaeQ2cnkVQGZ8XGc+ZSbhV/dprS+EnCwMdNZ8kUBnEq5ideSDg5Rnj8AOqXkGw37urNSGr+nMuhKvuPwchY9HhlAbasBMeZf/xKvnJwFKZmFc8V1vZDX/7Cj7GqUp6ZYnZqAlTxMlm6evoQp3Vzi88/16HodjMjORAhl/Uo5NPzPt/FkvLQHp9jp0JSHly6yWPTKqcjz4Fq5pqhO9WSBYsi8k1g9QJPfUBVvxyn+QDgA/9z7mULpNca68/3NfNXqt4J3AnR3NALpTkfM4dGeOCO9zDxxB7CUhmCADfXxRPv/TCb3vWrXPbh9yKuW39DxnS44skRpg/viR6EQbTuhIu4Lt2bLsfLX5w/nsrjo0wdeCpqdprbL46LiJDfeCmp3sEW5zAZDUP83fcSHKk4xiLw7MNIzyDpF70SyXS1JG9BucTEgd34s9OgcY2NOEyN7CM7sIr86s3nBCVanKb0yHfRyVMQhoCC4+LveQB37Xa8Hdci4nDguHLPwxAEUI4OHykXHAdu3qVsXSWoKo8cUPaMRLskqjRSnjoCPV3KjTuEXOb8gqLy7AynDj9H6PtoXDYRh/GRQ3SvWE33wMrz22kXoDg6zPSRvdGDMIiCJBxS4nA8vYHjXg4RYdPqHnpzKb71QJl77i8hAqVy9MX9nZ+V6esRfuO2Llb1ty7oXVTa2cHikh0FVf0FVd25wDIXKL4NeC3wFj3TQH8I2FCxmfXAkXj9+gXWz3uNiHhAAThZY1tNUTx+kh/d8EbGH3qScGY2upoAwfQM4WyRA3d+hkfe+YFmZceYlimeHGH60DNRABEHRED0RVIuMbH3Efyp8dZlsEXK46NM7nsCDfxz90vgM7nvCcrjo63LYEKqSvnR70WBYuUxjgNgHT9O8adfQcvFpuct9Muc3vsI/szkmUARor9VmT15jMlDe+a9RstFivfdjU6MxmWJv57isgVHnqH8+A85eDzk7gdgtnQmUITo72IZ7vkZPHdUeeA5Ze/RqCdsZetiEMLpKfjmY8psqfEgwi/OMnrgGYJy6flAEUA1RDVk4vgwkyeONrzdCzE7Ohz9KKz4HAjgEOKpz6riPrxghiBUnhse50s/nOEb95co+1GgCNHeLvlw/JTyV5+b5sTp9muSPT/RoNxJl3bTqt7QtwJ/CLxOVacrnroLeHPcw3kLUUeWn6rqMDAhIi+J70f8NeDLFa+Z6+l8B/DtOPj8OvBqEemPO7a8Ol7XFHs+9LeURk+jQbDg88H0DEc+/1VO/+yJZmXJmKbTMGD68DPzv6jPTcTUoaebl6k2oKpMHdxdf78cfLotb3avpGNHCUcPzw945yVQKM7g73+8uRkDpo8fJvT96gk0pDh+kvL05POr/H2PQWm2+kS+YUB4/CAPPjKKX+Pw+SF85zHlwIn5QeK8tycKkh4/1PgxPn30EBrW+vwoE6Mjtcu/iDQImDm8p+Zn2kEZLEZ1NpMz8KNHA0pVsqdEQfddP2r+j4ylYr2hG/dRoAf4hog8JCIfB1DVx4HPAk8AXwPeo6pzV6B3A58g6vSyF/hqvP7vgUER2QP8HvC+eFsngT8B7ouX/xSvW3LBbJGDn/oXtFyumU6LJZ77yH9vRpaMaYnS2PFE6cLiTFT7c5HwJ07V/qKPaRjgT5xqQo7On7/vcQjqBCQaEhx8al4N2FLTMGT21FGq3H1UmZCZE0eef01w+OnaQTzRcdkR1v+hn0pVDxSf3xaw/wT4QfIAISiXKM1MJUo7Ndac2uniqaML3/x1lpQWSYWzPH3Aq3dkUIUn9wdMzrRf8NQohY7uDd2SDi7xMDfVnvsQ8KEF1t8P7Fxg/SzwS1W29Ungk+ef0/Mzs/9wopNGg5BT9z689BkypkX8qfH4nq86BIKZSbyu7qXPVBvwZyaq18RVCgP8mUlSvQNLn6nzFI6fSJgwgOIsZHNLm6G5tyuX6saJc+Z+qGhxqnqNYgUBhqR+ub2E1TECTBWhkHDXlIsziEj9oEKV8swksCrZhi9AMJ3wXEdIh7McHeshDOt/UXoujIwGXLK+HfrjXgCFsA1rDJPq8L3fnsRxEl+kxFk+vb2MOYd9vBckDeyYtu8Q2kgGm1mW83iv6Li05gu9sePcyD5v1k5v7H0aSb1cekW3Y/NyUsukm1F76dq8DnHr71rxPAZffn0TcmRMa6TyfeAk6PGv0ZAxFws33xt1ma3HcXDbfL84fStJ9NXvpSDdvB7RTiqTOMhI5eN9nM0l+rwqwojWr63zE1Qez8lnkqdNZbsSNVWKCOlcc2rrvZ6+ZOc6StHJsWYwxHXql8EPYO3QcghVbFBucxYnlWLTb/0KTiZdM514Lpt/x2YhNMtXqjCUKJ2bzeM2qXmyHXj5Ao5be4w/AMdNtf2wQt6mnfUDX8fF3Xh5U2uIRITs4Or6NWvi0DW0Nn6Ng7vh0rpBjzgOz3mX181DEEC9xiNHYOtKcBtoZXK9FJl8T910CuQKzRl+KV1YUTeNAiUni++k2bGhfiTtCOza5tJ1nkMLtRPV6J7YpEu7sWBxiWx737vIbliDpBf+QnBzXWz+7bfSc9m2JufMmOYRxyG/8VKQGpcaxyW/8QXNy1QbEBHymy6rvV/EIb/psrZvgnMKQ7hrtoFT5a4mcZCuHryN9YOrxdY1tA4nlaFqzac4ZAdW4VX8UPE2vhDJ5qsfG8fFXbed66/qx6sRU3oOvOpFwo41UK2hSQS60nD5+saPcWHVeqRWUCtC76r1OE0ay7feuT433uKJdDQ3Ri4Dt1znkarysXEE8lnh9hsbqHJtc508g4sFi0sk1dvNjT/6LCtedRNOJo2b60LSadyePF5Pnu0f/L+59L/8fquzacySSxeG6N78QiSVjmqgRKIvFHFws3l6t1+Fm823OptN5+UL9GzbhZPOVuwXAcfBSXfRs21X29cqzvEuuwF3805wvWgRJwoeHQdnxQbS170GcZt/i7zjuvRtu4JUT9+Zzx0S3VfuuORWrie/etO814iXIn3tbThD66Lj4rjR6+KyuZt34W1/Mav6hH9zPfTlo04YrhMtngu9XfC662DdoLBzg7BzfbTec6IgyI3/X1WAm3cKKa/xYNFNpRnavINUNnfmsxOXzXFdCqs3ku9r7qDu0bl+OeKl49pZIYyXkmQZ7tpK6GbIpBwuWVfgVdd2ccfL0uSykEmB60aDmnsubFnj8Htv6qI3v0zCFE0+bE473tso7dg23krXXnut3n///Yu6zdnDRzn21e8RTE2T3biWlbe9ArdOE7Uxy42q4k+NEcxMgQhevnDR9H6uRVUJpifwpycA8HI9uLmetq9RXIgGPuHxg2hxGrwU7tCGls3ccragXKIcD1nkpNKke/rrTomnxWmCE4chKCOZPM7Q+gVn3To6pvOm+1vdd26njDBUhseiXs+eE6U535lbzuaXZilOTYIqbjpDJt/az4+q4k+OEcxOAUI5lWeWqIYwl/XIZbx5+QtC5akDASdOh3iu8IINLkOFxQ8SReQBVb120TecQP+qK/TmN3+5fsLYF/56W8vyuhDrDd0E2XWr2PiOX251NoxpKREh1d1Pqru/1VlpKyKCl+/Fy7d3R5YkxPVwV29pdTYW5KbSuAONDSEjmRzeuu11063qE1b11U7jOMK6JRoByUtn8dLZ+gmbRERI9fST6onO9SzRwMrVuI7wws3LPxwJmzjO6GJb/kenDWgYEB4/gpaLOD19OAlv+jdmufH9gGI8N1o24+Em6RF8EQgDH784A4CX6cJpQZPtYjk0MsuJU2XyWZetm7oa6rixlFRDwolTEPhINofTlaCDiCqlYpFQFc91SaUXbhHyA2VqNgoEchmnarNyqexTKgc4jtCVSS1a7Z8GPjp2HA0DnO4+pA1q7HVmknB8FMQh6F3JTBB9pvNZB889t9xBuYRfLkWBZqarbq1vx+nwuaE794rUATQMKD3wHUo/+340WKkIBAFO/woyN70Wb0P9X6zGLAfFks/wiXGmZqIvAxQUpdDdxeqhHrwEQ00tR0G5xMTRQxQnx54PHFSVTE8fPSvX46Y653aVex86zd9/dpjh40VSrhAqpFPCL922ijfeugKnRUGjakj5wJP4h+amVxTQEOnqIb31StyB1Qu8RhkbG+P02Ni8YUxSqRQDg4PkclGHmFI55LmjRUYngud7PYcKA90um1dlyKajz/XkdJGR0QmKJf/MGJsCg315VvbnzztoVL+E/8RPCPY/cabXdxggA2tI7bwpHtaoucLTJyg/8E3Ckf3getFA1GHIxOALGF5/I2U3y2BPtH8yKYfSzDTjx49Qmp2Ztx9yhUF6h1Ytm6BRac97EZOyexbPslj3LGoYMHPXJwmGnwN/gWn/vBSZV76R9KXXXPB7GdPOZotlnj10krDKtSblOWzbMHTRBYxBqcjovierzh8vrsvg5stw0+3fG/R/f/sE/98/HaZYOvcYZ9LCi3f18oH3bG56wKgaUnzsB4RjxxaeMcdxSW2/llRF07mqcnRkhJmZmQXHuxMRBoeGyHR189Cz01XHUvQc2LU1R7FY5PCx0wtODCMCuWyazWv7Gw4Y1S9R+t5n0anTC5fN9UjfcHvUUadJwpMjFO/5R/BL5z4nDuVUN09d+mYCL4vnwuWrQyaP7l94XEERUukMQxsvWbSAsZX3LPat3Kkvf+MXEqe/6+OX1syriNwKfARwgU+o6ofPev4twB/GDyeBd6vqwxXPu8D9wGFVfW29/FxcV+cmKj3y4+qBIoBfpvjtzxNOjTc3Y8Y0kaqyf/hU1UARoOyHHD56uom5ag9jh5+tGigCaBAwdvjZJubo/AwfK/LxKoEiQLGk3P/oON/80ckm5wz8I3urB4oAYUD5mfsJi9PPrxofH68aKEL0mR49cYKnD07VHHTbD+GpA9NVA8VoWzA9W+LEWLJ5nudt/7EfVg8UAQKf0r1fQevN271IVJXidz67YKAI4GhIqjTJxgPfirIXhJweqRIoRhukXCoyfmJkqbLcXAphGCZeaokDvb8FfhG4HPgVETl7bKrngJer6i7gT4A7z3r+3wFPJs2+BYtLQFUpP/jd6oFihfJjP1n6DBnTIlMzJYKgfuvF5EyRciPTXXS48uzM8/co1uIXk6VrpS/ec5ywzjGeLSr//JVjTcpRRFXxDz5Zfw5uVfzDzzz/mrObnqttW/3JunkIg2LdqaZVYXRsuqFZO9QvERx8qn7ZwpBweG/i7V6IcPhZKC8cKM5xCCmc3odXniYvk/VnVlRl+vTJthyk+nws4tA51wF7VPVZVS0BnwFun/deqj9W1VPxw38F1s89JyLrgdcAn0iadwsWl4COn0KTXOADH3/Po0ufIWNaZHyqWLNWsdLUTO0vmuWkNHWaulEEgEJxsr1bH37y4OlE09qNnChxeqI5tVwQDXuj5WKChCHBiUMABEFAUKO2t1JW6m/bk2TbCsKQUjn5j6Xw5EjtAd2f33CZ4PCexNu9EMHBp6vWKlZSceiePERepnAk2bWh3OY/mJJQVcIgSLwAQyJyf8XyzorNrQMOVjw+FK+r5u3AVyse/xXwB0DiKNw6uCwBDcrJTmRoWhOBMa0QNnBDd9KgcjlIXoukaJsPt1EuJyuL60QdQpomjDuzJEobBWqN1O5JokAn2fYEaWw+4Ea+N5r1HZOgJW2OEwY4yeOUju4YUqnBcpyocc/iQh/sBTcuIq8kChZvih+/Fjimqg+IyCuSZsZqFpeA012o3zwwl7av/nyaxnSqbNqtOzUvRF+WmWrzfi1DXiqDJPhBKeLgtXkHlzWrkuev0NO8YxwNBp4sIJFcNIyO28DUeIHWTxsm/IpVlFStuQPPIt19cc/uegkdpLc5s7hI34polpsEipk+SppOVrmuiltlyKLOooQaJl7qOARsqHi8HjhydiIR2UXU1Hy7qo7Gq28EXici+4iar39eRP6x3htasLgEJJ3F23J5/QnsU2nSV760OZkypgX6enP1ExENWJzLLjyP+nKU6elLVuklkOnuW+LcXJg33rqCrkztrxLXgZ//uX7SqeZ95Yjr4Q5toO6Odj1S6y8FwHEc8vn6U0+KCNNh/XTlMNlYij25DG4DowE4PQNIkqkgRXC37Ey83QvhbduV6NYK380ylV/NuBbQBCdBKtOF10FDSFWjuqj3LN4HbBeRLSKSBt4M3FWZQEQ2Av8CvFVVnz6TD32/qq5X1c3x676tqv+23htasLhEMi+5BbwaX36uizO4GnfDJc3LlDFN5rkOA4Vczd9NIrBmqDOntztf4jjkV6ytfbuKRGnafZy5G64qsHplmloVY5mMw5tf29jsKYshtWlnNOFwNeLg5Hpx+s+Mtdg/MFD3s5hKpVgz1E2tkYAcgbWDXXRlvJqff0eElYP1Bwg/m3fFy2rX5LkezrrtOPm+hrd9PiSbx91xDbjVv/dC8Ti0/mUgQiBpnEy+ZqWKiFBYuWYpstsSGoaJl5rbUfWB3wa+TtSj+bOq+riIvEtE3hUn+yNgEPg7EXlIRC5oTMD2vgp1MKd/JbnXvxMyXVD5q0gEvDTuqk3kbv/NRE1RxnSy1YM99PeeGzCKzAWKvRR62mP+4GbKD6wiP7j6zI6YEz/OD64m3+D0dK3gusKfve8Stm7sIptx5hWlK+vQ2+3yX99/CatXNL853cn1kNn1SvDS5wZWjovTM0Bm1yvmBYepVIq1a9fiOM45QaOIkMlkWLN2LWsGM2xYka52+Fg7mGLdUJpNa/sXnK1FRHAcYdPafrLpxpvn3RUbSF1zS1SuyrKJRGVbs5XUVTc3vN0LkbrmZtytV0T5qfiRE4hHKC4HNryC8YFtiMD6oRRrNm0mm+85N2AUQcShf+0m0l31a3A7wuLWLKKqd6vqDlXdpqofitd9XFU/Hv/9DlXtV9Ur4+Wc+x9V9btJxlgEG5T7HIs1KPcc9cv4ex6hvPtBtFTEKQyS3nUjzqoNF1VNijGlss/o6WlmZqMb4XtyGfoLuYtuMO6zBeUSM6eOU5qOhmJJ57rp6l/RUbO3QHRv2ePPTPGVb51g5HiJfM7lVS8d4MZrCqS81h5jDQOC4wfxj+5D/TJOVzfeuu04PYNVr8OqytTkJBMTE4RhiJdKUSgUyGQy815T8kNGTpU5PRndp96bc1k9kCJzVpP79GyZk6enKJYCXEco9HRR6M5e8EDlWi4SHHiKYHgvhAFOYQh364twepZoIuoEwolT+LvvR0eHCREm+rZwvP9ywlSW3rzL6v75+6dcnGHq1Cjl4iziOGS7e8kV+nGc5PdxJtHKQbl7By7TF7/604nTf/ufr29ZXhdiweJZFjtYNMYYY0zrtTJY7Bm4TK/9hU8lTv/dz72krYLFi6f7oTHGGGNMKygdPbi4BYvGGGOMMUsq2b2I7cqCRWOMMcaYpaTMzczSkSxYNMYYY4xZQop2dDO0dXA5i4gcB/af58uHgBOLmJ12Z+Vdvi6msoKVd7m7mMp7MZUVGivvJlVtybRpIvI1orwmdUJVb12q/DTKgsVFJCL3t1PvpaVm5V2+LqaygpV3ubuYynsxlRUuvvK2ysU9wJkxxhhjjKnJgkVjjDHGGFOVBYuL685WZ6DJrLzL18VUVrDyLncXU3kvprLCxVfelrB7Fo0xxhhjTFVWs2iMMcYYY6qyYPE8iMjviMhuEXlcRP5sgec3iMh3ROTJOM2/q3juj0XksIg8FC+3NTf3jatX3jjNrXGaPSLyvor1AyLyDRF5Jv6/v3k5b0ySYyMiL6h4/iERGReRf5/09e0kaX5FZJ+IPBqnub9ifcccW0h8fJfNudvA8e34c3eOiPy+iKiInDNEyXI6d+fUKm/8/LI4d+fUOb7L5txtS6pqSwML8Ergm0AmfrxygTRrgKvjv3uAp4HL48d/DPx+q8uxyOV1gb3AViANPFxR3j8D3hf//T7gT1tdphplbejYxOUeIRq7qxOPbaL8AvuAoQXWd8yxTVreZXbuJinvsjh34zxuAL5ONE7uOZ/XBcrdsedu0vIul3M3SXmX07nbjovVLDbu3cCHVbUIoKrHzk6gqsOq+mD89wTwJLCuqblcPHXLC1wH7FHVZ1W1BHwGuD1+7nbg0/HfnwZev7TZbaqbgb2qer6DuHe6ZXdsl9m5m8RyOnf/EvgDIMmN+Mvh3G2kvGfrtGMLdcp7EZ67TWXBYuN2AC8VkXtF5Hsi8uJaiUVkM3AVcG/F6t8WkUdE5JMdUP2fpLzrgIMVjw9x5iRdparDEJ3MwMolze2Fa+TYvBn4pwt4fTtIkl8F7hGRB0TknRXrO+3YQgPHZxmcu1A/v8vi3BWR1wGHVfXhhC/p6HO3gfIui3O30eO7TM7dtmLB4gJE5Jsi8tgCy+1E82n3Ay8B3gt8VkSkyna6gS8A/15Vx+PVHwO2AVcCw8D/u8TFqWsRyrtQ+duym32dsiY+NiKSBl4HfK5idacd26T5vVFVrwZ+EXiPiLysKZk/D4t4fJfDuZskv8vl3P0A8EcJt7Mczt2k5V0u524jx7cjzt2O0+p28E5bgK8Br6h4vBdYsUC6FNH9Fb9XY1ubgcdaXaYLLS9wA/D1isfvB94f/70bWBP/vQbY3eoyJSx3zWND1IxzTycf2/PJLxX3/nTqsa1X3uVy7ibJ73I4d4ErgGNE9+ftA3zgALC6SvqOPncbLW/F6zry3G2kvMvx3G2XxWoWG/cl4OcBRGQH0U3h8yYxj2ve/h54UlX/4qzn1lQ8/DfAY0uZ2UXwJeqUF7gP2C4iW+Jf7W8G7oqfuwt4W/z324AvL3WGz1eDx+ZXOKsZq9OObZL8ikheRHrm/gZeXZGuY44tJC7vsjl3E+a3489dVX1UVVeq6mZV3UzUlH61qo5UeUlHn7tJy7tczt0Gyrtszt221OpotdMWomDpH4k+bA8CPx+vXwvcHf99E1FTziPAQ/FyW/zcPwCPxs/dRfzrrl2XJOWNH99G1PtsL/CBivWDwLeAZ+L/B1pdphplXfDYLFDWHDAKFJK8vl2XJOUl6iX7cLw83qnHtoHyLqdzN+nnuePP3bPKvY+4t+xyPXeTlHc5nbsJy7tszt12XGwGF2OMMcYYU5U1QxtjjDHGmKosWDTGGGOMMVVZsGiMMcYYY6qyYNEYY4wxxlRlwaIxxhhjjKnKgkVjzJIRkclF2s6nROSOxdhWjfdYKyKfX8r3WOA9N4vIrzbzPY0xplEWLBpjLhoi4lV7TlWPqOqiB6S13pNoNgkLFo0xbc2CRWPMkpPIn8dzvT4qIm+K1zsi8nci8riIfEVE7q5Xgygi14jI90TkARH5+tzsDCLymyJyn4g8LCJfEJFcvP5TIvIXIvId4E/jx38tIj8WkWfn3i+u5Xss/vvXReRfRORrIvKMiPxZxfu/XUSeFpHvish/E5GPLpDHPxaRO0XkHuB/xNv+gYg8GC8/Fyf9MPBSEXlIRH5XRNx4P90nIo+IyG9d+N43xpgLU+sXrzHGLJY3AFcCLwKGgPtE5PvAjUS1a1cAK4EngU9W24iIpIC/AW5X1eNx0Pkh4DeAf1HV/xan+8/A2+O0ADuAX1DVQEQ+RTQf7k3ApUQzOizU/HwlcBVQBHaLyN8AAfAfgauBCeDbRDNkLOQa4CZVnYkD11ep6qyIbCeabu5a4H1E8/W+Ns73O4HTqvpiEckAPxKRe1T1uWr7xBhjlpoFi8aYZrgJ+CdVDYCjIvI94MXx+s+pagiMxLV/tbwA2Al8I5oKFhcYjp/bGQeJfUA38PWK130ufu85X4rf8wkRWVXlvb6lqqcBROQJYBNRoPs9VT0Zr/8cUSC6kLtUdSb+OwV8VESuJAo4q73m1cCuitrVArAdsGDRGNMyFiwaY5pBGlxfazuPq+oNCzz3KeD1qvqwiPw68IqK56bOSltMkIfKNAHR9bKR/Fa+5+8CR4lqVh1gtsprBPgdVf16leeNMabp7J5FY0wzfB94U3xP3grgZcBPgR8Cb4zvXVzF/ABvIbuBFSJyA0TN0iLywvi5HmA4bqp+y1IUIs7zy0WkP+648saErysAw3Ft5luJakQhasruqUj3deDdcRkQkR0ikl+crBtjzPmxmkVjTDN8EbiB6P4+Bf5AVUdE5AvAzcBjwNPAvcDpahtR1VLcRPvXIlIguob9FfA40b2E9wL7gUeZH4QtClU9LCL/JX6fI8ATtfJb4e+AL4jILwHf4Uyt4yOALyIPE9WMfoToHs4HJWpnPw68fhGLYIwxDRNVbXUejDEXMRHpVtVJERkkqrm7UVVHWp2vairy6xEFwZ9U1S+2Ol/GGLNUrGbRGNNqXxGRPiAN/Ek7B4qxPxaRXwCywD3Al1qbHWOMWVpWs2iMMcYYY6qyDi7GGGOMMaYqCxaNMcYYY0xVFiwaY4wxxpiqLFg0xhhjjDFVWbBojDHGGGOqsmDRGGOMMcZU9f8DILuIvUmSOFkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the cross-validation results\n",
    "import math\n",
    "import pdb\n",
    "\n",
    "# pdb.set_trace()\n",
    "\n",
    "x_scatter = [math.log10(x[0]) for x in results]\n",
    "y_scatter = [math.log10(x[1]) for x in results]\n",
    "\n",
    "# plot training accuracy\n",
    "marker_size = 100\n",
    "colors = [results[x][0] for x in results]\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.tight_layout(pad=3)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 training accuracy')\n",
    "\n",
    "# plot validation accuracy\n",
    "colors = [results[x][1] for x in results] # default size of markers is 20\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "id": "test"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear SVM on raw pixels final test set accuracy: 0.330000\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the best svm on test set\n",
    "y_test_pred = best_svm.predict(X_test)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the learned weights for each class.\n",
    "# Depending on your choice of learning rate and regularization strength, these may\n",
    "# or may not be nice to look at.\n",
    "w = best_svm.W[:-1,:] # strip out the bias\n",
    "w = w.reshape(32, 32, 3, 10)\n",
    "w_min, w_max = np.min(w), np.max(w)\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for i in range(10):\n",
    "    plt.subplot(2, 5, i + 1)\n",
    "      \n",
    "    # Rescale the weights to be between 0 and 255\n",
    "    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n",
    "    plt.imshow(wimg.astype('uint8'))\n",
    "    plt.axis('off')\n",
    "    plt.title(classes[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline question 2**\n",
    "\n",
    "Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in*  \n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
